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<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Perich2008">
	<title>Policy-based spectrum access control for dynamic spectrum access network radios</title>
	<link>http://www.websemanticsjournal.org/papers/2008610/PolicybasedspectrumaccesscontrolPerichV7I1.pdf</link>
	<description rdf:parseType="Literal">We describe the design of a policy-based spectrum access control system for the Defense Advanced Research Projects Agency (DARPA) NeXt Generation (XG) communications program to overcome harmful interference caused by a malfunctioning device or a malicious user. In tandemwith signal-detection-based interference-avoidance algorithms employed by cognitive software-defined radios (SDR), we design a set of policy-based components, tightly integrated with the accredited kernel on the radio device. The policy conformance and enforcement components ensure that a radio does not violate machine understandable policies, which are encoded in a declarative language and which define stakeholders? goals and requirements.We report on our framework experimentation, illustrating the capability offered to radios for enforcing policies and the capability for managing radios and securing access control to interfaces changing the radios? policies.</description>
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			<rdfs:label>Filip Perich, Mark McHenry. Policy-based spectrum access control for dynamic spectrum access network radios. Journal of Web Semantics 7(1), 2009</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">We describe the design of a policy-based spectrum access control system for the Defense Advanced Research Projects Agency (DARPA) NeXt Generation (XG) communications program to overcome harmful interference caused by a malfunctioning device or a malicious user. In tandemwith signal-detection-based interference-avoidance algorithms employed by cognitive software-defined radios (SDR), we design a set of policy-based components, tightly integrated with the accredited kernel on the radio device. The policy conformance and enforcement components ensure that a radio does not violate machine understandable policies, which are encoded in a declarative language and which define stakeholders? goals and requirements.We report on our framework experimentation, illustrating the capability offered to radios for enforcing policies and the capability for managing radios and securing access control to interfaces changing the radios? policies.</swrc:abstract>
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					<foaf:name>Filip Perich</foaf:name>
					<swrc-ext:bestName>Filip Perich</swrc-ext:bestName>
					<swrc-ext:bestName>Filip Perich</swrc-ext:bestName>
					<swrc-ext:hashCode>1673358790</swrc-ext:hashCode>
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					<foaf:name>Mark McHenry</foaf:name>
					<swrc-ext:bestName>Mark McHenry</swrc-ext:bestName>
					<swrc-ext:bestName>Mark McHenry</swrc-ext:bestName>
					<swrc-ext:hashCode>-1118988522</swrc-ext:hashCode>
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			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Interference avoidance, dynamic spectrum access, policy control, radio spectrum management, software-defined radios</swrc:keywords>
			<swrc:number>1</swrc:number>
			<swrc:title>Policy-based spectrum access control for dynamic spectrum access network radios</swrc:title>
			<swrc:volume>7</swrc:volume>
			<swrc:year>2009</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008610/PolicybasedspectrumaccesscontrolPerichV7I1.pdf"/>
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<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Liu2008">
	<title>Specifying and enforcing high-level semantic obligation policies</title>
	<link>http://www.websemanticsjournal.org/papers/2008610/SpecifyingandenforcinghighlevelsemanticobligationpoliciesLiuV7I1.pdf</link>
	<description rdf:parseType="Literal">Obligation policies specify management actions that must be performed when a particular kind of event occurs and certain conditions are satisfied. Large scale distributed systems often produce event streams containing large volumes of low-level events. In many cases, these streams also contain multimedia data (consisting of text, audio or video). Hence, a key challenge is to allow policy writers to specify obligation policies based on high-level events, that may be derived after performing appropriate processing on raw, low-level events. In this paper,we propose a semantic obligation policy specification language called Eagle, whichis basedonpatterns of high-level events, representedasRDFgraph patterns. Our policy enforcement architecture uses a compiler that builds a workflow for producing a stream of events, which match the high-level event pattern specified in a policy. This workflow consists of a number of event sources and event processing components, which are described semantically. We present the policy language and enforcement architecture in this paper.</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Liu2008">
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			<rdfs:label>Zhen Liu, Anand Ranganathan, Anton Riabov. Specifying and enforcing high-level semantic obligation policies. Journal of Web Semantics 7(1), 2009</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">Obligation policies specify management actions that must be performed when a particular kind of event occurs and certain conditions are satisfied. Large scale distributed systems often produce event streams containing large volumes of low-level events. In many cases, these streams also contain multimedia data (consisting of text, audio or video). Hence, a key challenge is to allow policy writers to specify obligation policies based on high-level events, that may be derived after performing appropriate processing on raw, low-level events. In this paper,we propose a semantic obligation policy specification language called Eagle, whichis basedonpatterns of high-level events, representedasRDFgraph patterns. Our policy enforcement architecture uses a compiler that builds a workflow for producing a stream of events, which match the high-level event pattern specified in a policy. This workflow consists of a number of event sources and event processing components, which are described semantically. We present the policy language and enforcement architecture in this paper.</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#zhen_liu">
					<foaf:name>Zhen Liu</foaf:name>
					<swrc-ext:bestName>Zhen Liu</swrc-ext:bestName>
					<swrc-ext:bestName>Zhen Liu</swrc-ext:bestName>
					<swrc-ext:hashCode>-1773056266</swrc-ext:hashCode>
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			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#anand_ranganathan">
					<foaf:name>Anand Ranganathan</foaf:name>
					<swrc-ext:bestName>Anand Ranganathan</swrc-ext:bestName>
					<swrc-ext:bestName>Anand Ranganathan</swrc-ext:bestName>
					<swrc-ext:hashCode>-845763438</swrc-ext:hashCode>
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			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#anton_riabov">
					<foaf:name>Anton Riabov</foaf:name>
					<swrc-ext:bestName>Anton Riabov</swrc-ext:bestName>
					<swrc-ext:bestName>Anton Riabov</swrc-ext:bestName>
					<swrc-ext:hashCode>1970976286</swrc-ext:hashCode>
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			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Ontology, Policy, Automatic workflow composition, high-level events, semantic policy language</swrc:keywords>
			<swrc:number>1</swrc:number>
			<swrc:title>Specifying and enforcing high-level semantic obligation policies</swrc:title>
			<swrc:volume>7</swrc:volume>
			<swrc:year>2009</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008610/SpecifyingandenforcinghighlevelsemanticobligationpoliciesLiuV7I1.pdf"/>
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<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Agarwal2008">
	<title>MakingWeb services tradable. A policy-based approach for specifying preferences on Web service properties</title>
	<link>http://www.websemanticsjournal.org/papers/2008610/MakingwebservicetradeableAgarwalV7I1.pdf</link>
	<description rdf:parseType="Literal">In service-oriented architectures, applications are developed by incorporating services which are often provided by different organizations. Since a service might be offered under different configurations by various different organizations, sophisticated service selection and negotiation algorithms are required. Policies capture the conditions under which services are offered or requested and thereby constrain the negotiation space. However, current policy languages are ill-suited to realize beneficial trade-offs within a negotiation, since they support only Boolean decisions and cannot capture all relevant service information. Therefore, we present a novel policy language in this work that provides two main contributions: (i) we enable the specification of constraints on functional as well as non-functional properties of Web services. The functional properties include data objects and the behaviour, whereas the non-functional properties include QoS attributes. (ii) Given such constraints,we showhowthe concept of utility function policies can be used to define cardinal preferences over functional as well as non-functional properties. This is required to rank Web service offers, define their prices, and consequently to realize automated negotiations between service providers and requesters.</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Agarwal2008">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
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			<rdfs:label>Sudhir Agarwal, Steffen Lamparter, Rudi Studer. MakingWeb services tradable. A policy-based approach for specifying preferences on Web service properties. Journal of Web Semantics 7(1), 2009</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">In service-oriented architectures, applications are developed by incorporating services which are often provided by different organizations. Since a service might be offered under different configurations by various different organizations, sophisticated service selection and negotiation algorithms are required. Policies capture the conditions under which services are offered or requested and thereby constrain the negotiation space. However, current policy languages are ill-suited to realize beneficial trade-offs within a negotiation, since they support only Boolean decisions and cannot capture all relevant service information. Therefore, we present a novel policy language in this work that provides two main contributions: (i) we enable the specification of constraints on functional as well as non-functional properties of Web services. The functional properties include data objects and the behaviour, whereas the non-functional properties include QoS attributes. (ii) Given such constraints,we showhowthe concept of utility function policies can be used to define cardinal preferences over functional as well as non-functional properties. This is required to rank Web service offers, define their prices, and consequently to realize automated negotiations between service providers and requesters.</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#sudhir_agarwal">
					<foaf:name>Sudhir Agarwal</foaf:name>
					<swrc-ext:bestName>Sudhir Agarwal</swrc-ext:bestName>
					<swrc-ext:bestName>Sudhir Agarwal</swrc-ext:bestName>
					<swrc-ext:hashCode>-1000011199</swrc-ext:hashCode>
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			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#steffen_lamparter">
					<foaf:name>Steffen Lamparter</foaf:name>
					<swrc-ext:bestName>Steffen Lamparter</swrc-ext:bestName>
					<swrc-ext:bestName>Steffen Lamparter</swrc-ext:bestName>
					<swrc-ext:hashCode>-790566464</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#rudi_studer">
					<foaf:name>Studer, Rudi</foaf:name>
					<foaf:name>Rudi Studer</foaf:name>
					<swrc-ext:bestName>Rudi Studer</swrc-ext:bestName>
					<swrc-ext:bestName>Rudi Studer</swrc-ext:bestName>
					<swrc-ext:hashCode>-1395113782</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Web service policies, Preferences for functional/non-functional properties, Automated negotiations</swrc:keywords>
			<swrc:number>1</swrc:number>
			<swrc:title>MakingWeb services tradable. A policy-based approach for specifying preferences on Web service properties</swrc:title>
			<swrc:volume>7</swrc:volume>
			<swrc:year>2009</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008610/MakingwebservicetradeableAgarwalV7I1.pdf"/>
		</swrc:Publication>
	</burst:publication>
</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Bizer08">
	<title>Quality-driven information filtering using the WIQA policy framework</title>
	<link>http://www.websemanticsjournal.org/papers/2008610/Qualitydriveninformationfilteringusing theWIQABizerV7I1.pdf</link>
	<description rdf:parseType="Literal">Web-based information systems, such as search engines, news portals, and community sites, provide access to information originating from numerous information providers. The quality of provided information varies as information providers have different levels of knowledge and different intentions. Users of web-based systems are therefore confronted with the increasingly difficult task of selecting highquality information from the vast amount of web-accessible information. How can information systems support users to distinguish high-quality from low-quality information? Which filtering mechanisms can be used to suppress low-quality information? How can filtering decisions be explained to the user? This article identifies information quality problems that arise in the context of web-based systems, and gives an overview of quality indicators as well as information quality assessment metrics for web-based systems. Afterwards, we introduce the WIQA?Information Quality Assessment Framework. The framework enables information consumers to apply a wide range of policies to filter information. The framework employs the Named Graphs data model for the representation of information together with qualityrelated meta-information. The framework uses the WIQA-PL policy language for expressing information filtering policies against this data model. WIQA-PL policies are expressed in the form of graph patterns and filter conditions. This allows the compact representation of policies that rely on complex metainformation such as provenance chains or combinations of provenance information and background information about information providers. In order to facilitate the information consumers? understanding of filtering decisions, the framework generates explanations of why information satisfies a specific policy</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Bizer08">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>Christian Bizer, Richard Cyganiak. Quality-driven information filtering using the WIQA policy framework. Journal of Web Semantics 7(1), 2009</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">Web-based information systems, such as search engines, news portals, and community sites, provide access to information originating from numerous information providers. The quality of provided information varies as information providers have different levels of knowledge and different intentions. Users of web-based systems are therefore confronted with the increasingly difficult task of selecting highquality information from the vast amount of web-accessible information. How can information systems support users to distinguish high-quality from low-quality information? Which filtering mechanisms can be used to suppress low-quality information? How can filtering decisions be explained to the user? This article identifies information quality problems that arise in the context of web-based systems, and gives an overview of quality indicators as well as information quality assessment metrics for web-based systems. Afterwards, we introduce the WIQA?Information Quality Assessment Framework. The framework enables information consumers to apply a wide range of policies to filter information. The framework employs the Named Graphs data model for the representation of information together with qualityrelated meta-information. The framework uses the WIQA-PL policy language for expressing information filtering policies against this data model. WIQA-PL policies are expressed in the form of graph patterns and filter conditions. This allows the compact representation of policies that rely on complex metainformation such as provenance chains or combinations of provenance information and background information about information providers. In order to facilitate the information consumers? understanding of filtering decisions, the framework generates explanations of why information satisfies a specific policy</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#christian_bizer">
					<foaf:name>Bizer, Christian</foaf:name>
					<foaf:name>Christian Bizer</foaf:name>
					<swrc-ext:bestName>Christian Bizer</swrc-ext:bestName>
					<swrc-ext:bestName>Christian Bizer</swrc-ext:bestName>
					<swrc-ext:hashCode>-1885578688</swrc-ext:hashCode>
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			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#richard_cyganiak">
					<foaf:name>Richard Cyganiak</foaf:name>
					<swrc-ext:bestName>Richard Cyganiak</swrc-ext:bestName>
					<swrc-ext:bestName>Richard Cyganiak</swrc-ext:bestName>
					<swrc-ext:hashCode>-418940797</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Information quality, Quality-driven information filtering, Semantic Web</swrc:keywords>
			<swrc:number>1</swrc:number>
			<swrc:title>Quality-driven information filtering using the WIQA policy framework</swrc:title>
			<swrc:volume>7</swrc:volume>
			<swrc:year>2009</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008610/Qualitydriveninformationfilteringusing theWIQABizerV7I1.pdf"/>
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</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Fabian08">
	<title>YAGO: A Large Ontology from Wikipedia andWordNet</title>
	<link>http://www.websemanticsjournal.org/papers/2008106/YAGOV6I3.pdf</link>
	<description rdf:parseType="Literal">This article presents YAGO, a large ontology with high coverage and precision. YAGO has been automatically derived from Wikipedia and WordNet. It comprises entities and relations, and currently contains more than 1.7 million entities and 15 million facts. These include the taxonomic Is-A hierarchy as well as semantic relations between entities. The facts for YAGO have been extracted from the category system and the infoboxes of Wikipedia and have been combined with taxonomic relations from WordNet. Type checking techniques help us keep YAGO?s precision at 95%?as proven by an extensive evaluation study. YAGO is based on a clean logical model with a decidable consistency. Furthermore, it allows representing n-ary relations in a natural way while maintaining compatibility with RDFS. A powerful query model facilitates access to YAGO?s data.</description>
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		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Fabian08">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum. YAGO: A Large Ontology from Wikipedia andWordNet. Journal of Web Semantics 6(3), 2008</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">This article presents YAGO, a large ontology with high coverage and precision. YAGO has been automatically derived from Wikipedia and WordNet. It comprises entities and relations, and currently contains more than 1.7 million entities and 15 million facts. These include the taxonomic Is-A hierarchy as well as semantic relations between entities. The facts for YAGO have been extracted from the category system and the infoboxes of Wikipedia and have been combined with taxonomic relations from WordNet. Type checking techniques help us keep YAGO?s precision at 95%?as proven by an extensive evaluation study. YAGO is based on a clean logical model with a decidable consistency. Furthermore, it allows representing n-ary relations in a natural way while maintaining compatibility with RDFS. A powerful query model facilitates access to YAGO?s data.</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#fabian_m_suchanek">
					<foaf:name>Fabian M. Suchanek</foaf:name>
					<swrc-ext:bestName>Fabian M. Suchanek</swrc-ext:bestName>
					<swrc-ext:bestName>Fabian M. Suchanek</swrc-ext:bestName>
					<swrc-ext:hashCode>695919286</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#gjergji_kasneci">
					<foaf:name>Gjergji Kasneci</foaf:name>
					<swrc-ext:bestName>Gjergji Kasneci</swrc-ext:bestName>
					<swrc-ext:bestName>Gjergji Kasneci</swrc-ext:bestName>
					<swrc-ext:hashCode>458694283</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#gerhard_weikum">
					<foaf:name>Gerhard Weikum</foaf:name>
					<swrc-ext:bestName>Gerhard Weikum</swrc-ext:bestName>
					<swrc-ext:bestName>Gerhard Weikum</swrc-ext:bestName>
					<swrc-ext:hashCode>-933904178</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Ontologies, Information extraction, Knowledge representation</swrc:keywords>
			<swrc:number>3</swrc:number>
			<swrc:title>YAGO: A Large Ontology from Wikipedia andWordNet</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008106/YAGOV6I3.pdf"/>
		</swrc:Publication>
	</burst:publication>
</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Christian08">
	<title>Syndication on the Web using a description logic approach</title>
	<link>http://www.websemanticsjournal.org/papers/2008106/SyndicateV6I3.pdf</link>
	<description rdf:parseType="Literal">Syndication systems on theWeb have attracted vast amounts of attention in recent years. As technologies have emerged and matured, there has been a transition to more expressive syndication approaches; that is, subscribers and publishers are provided with more expressive means of describing their interests and published content, enabling more accurate information filtering. In this paper,we formalize a syndication architecture that utilizes theWeb Ontology Language (OWL) and description logic reasoning for selective content dissemination. This provides finer grained control for filtering and automated reasoning for discovering implicit subscription matches, both of which are not achievable in less expressive approaches. We then address one of the main limitations with such a syndication approach, namely matching newly published information with subscription requests in an efficient and practical manner. To this end, we investigate incremental query answering for a large subset of OWL and present an approach to reduce the portion of the ontology that must be considered for query answering in the event of updates. Lastly, an evaluation of the query approach is shown, demonstrating its effectiveness for syndication purposes.</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Christian08">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>Christian Halaschek-Wienera, Vladimir Kolovski. Syndication on the Web using a description logic approach. Journal of Web Semantics 6(3), 2008</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">Syndication systems on theWeb have attracted vast amounts of attention in recent years. As technologies have emerged and matured, there has been a transition to more expressive syndication approaches; that is, subscribers and publishers are provided with more expressive means of describing their interests and published content, enabling more accurate information filtering. In this paper,we formalize a syndication architecture that utilizes theWeb Ontology Language (OWL) and description logic reasoning for selective content dissemination. This provides finer grained control for filtering and automated reasoning for discovering implicit subscription matches, both of which are not achievable in less expressive approaches. We then address one of the main limitations with such a syndication approach, namely matching newly published information with subscription requests in an efficient and practical manner. To this end, we investigate incremental query answering for a large subset of OWL and present an approach to reduce the portion of the ontology that must be considered for query answering in the event of updates. Lastly, an evaluation of the query approach is shown, demonstrating its effectiveness for syndication purposes.</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#christian_halaschek-wienera">
					<foaf:name>Christian Halaschek-Wienera</foaf:name>
					<swrc-ext:bestName>Christian Halaschek-Wienera</swrc-ext:bestName>
					<swrc-ext:bestName>Christian Halaschek-Wienera</swrc-ext:bestName>
					<swrc-ext:hashCode>-2109694288</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#vladimir_kolovski">
					<foaf:name>Vladimir Kolovski</foaf:name>
					<swrc-ext:bestName>Vladimir Kolovski</swrc-ext:bestName>
					<swrc-ext:bestName>Vladimir Kolovski</swrc-ext:bestName>
					<swrc-ext:hashCode>-1203058763</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Syndication systems, Publish/subscribe, Description logic, Incremental reasoning, Query answering</swrc:keywords>
			<swrc:number>3</swrc:number>
			<swrc:title>Syndication on the Web using a description logic approach</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008106/SyndicateV6I3.pdf"/>
		</swrc:Publication>
	</burst:publication>
</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Eyal08">
	<title>ActiveRDF: Embedding SemanticWeb data into object-oriented languages</title>
	<link>http://www.websemanticsjournal.org/papers/2008106/ActiveRDFV6I3.pdf</link>
	<description rdf:parseType="Literal">SemanticWeb applications share a large portion of development effort with database-drivenWeb applications. Existing approaches for development of these database-driven applications cannot be directly applied to Semantic Web data due to differences in the underlying data model. We develop a mapping approach that embeds Semantic Web data into object-oriented languages and thereby enables reuse of existingWeb application frameworks. We analyse the relation between the Semantic Web and the Web, and survey the typical data access patterns in Semantic Web applications. We discuss the mismatch between object-oriented programming languages and Semantic Web data, for example in the semantics of class membership, inheritance relations, and object conformance to schemas. We present ActiveRDF, an object-oriented API for managing RDF data that offers full manipulation and querying of RDF data, does not rely on a schema and fully conforms to RDF(S) semantics. ActiveRDF can be used with different RDF data stores: adapters have been implemented to generic SPARQL endpoints, Sesame, Jena, Redland and YARS and new adapters can be added easily. We demonstrate the usage of ActiveRDF and its integration with the popular Ruby on Rails framework which enables rapid development of SemanticWeb applications.</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Eyal08">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>Eyal Orena, Benjamin Heitmannb, Stefan Decker. ActiveRDF: Embedding SemanticWeb data into object-oriented languages. Journal of Web Semantics 6(3), 2008</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">SemanticWeb applications share a large portion of development effort with database-drivenWeb applications. Existing approaches for development of these database-driven applications cannot be directly applied to Semantic Web data due to differences in the underlying data model. We develop a mapping approach that embeds Semantic Web data into object-oriented languages and thereby enables reuse of existingWeb application frameworks. We analyse the relation between the Semantic Web and the Web, and survey the typical data access patterns in Semantic Web applications. We discuss the mismatch between object-oriented programming languages and Semantic Web data, for example in the semantics of class membership, inheritance relations, and object conformance to schemas. We present ActiveRDF, an object-oriented API for managing RDF data that offers full manipulation and querying of RDF data, does not rely on a schema and fully conforms to RDF(S) semantics. ActiveRDF can be used with different RDF data stores: adapters have been implemented to generic SPARQL endpoints, Sesame, Jena, Redland and YARS and new adapters can be added easily. We demonstrate the usage of ActiveRDF and its integration with the popular Ruby on Rails framework which enables rapid development of SemanticWeb applications.</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#eyal_orena">
					<foaf:name>Eyal Orena</foaf:name>
					<swrc-ext:bestName>Eyal Orena</swrc-ext:bestName>
					<swrc-ext:bestName>Eyal Orena</swrc-ext:bestName>
					<swrc-ext:hashCode>211519099</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#benjamin_heitmannb">
					<foaf:name>Benjamin Heitmannb</foaf:name>
					<swrc-ext:bestName>Benjamin Heitmannb</swrc-ext:bestName>
					<swrc-ext:bestName>Benjamin Heitmannb</swrc-ext:bestName>
					<swrc-ext:hashCode>-1950047747</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#stefan_decker">
					<foaf:name>Stefan Decker</foaf:name>
					<swrc-ext:bestName>Stefan Decker</swrc-ext:bestName>
					<swrc-ext:bestName>Stefan Decker</swrc-ext:bestName>
					<swrc-ext:hashCode>1989348960</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>SemanticWeb, RDF(S), Embedded data access, Object-oriented programming, Scripting languages</swrc:keywords>
			<swrc:number>3</swrc:number>
			<swrc:title>ActiveRDF: Embedding SemanticWeb data into object-oriented languages</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008106/ActiveRDFV6I3.pdf"/>
		</swrc:Publication>
	</burst:publication>
</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Riichiro08">
	<title>Editorial</title>
	<link>http://www.websemanticsjournal.org/papers/2008106/EditorialV6I3.pdf</link>
	<description>Riichiro Mizoguchi, Rudi Studer. Editorial. Journal of Web Semantics 6(3), 2008</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Riichiro08">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>Riichiro Mizoguchi, Rudi Studer. Editorial. Journal of Web Semantics 6(3), 2008</rdfs:label>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#riichiro_mizoguchi">
					<foaf:name>Riichiro Mizoguchi</foaf:name>
					<swrc-ext:bestName>Riichiro Mizoguchi</swrc-ext:bestName>
					<swrc-ext:bestName>Riichiro Mizoguchi</swrc-ext:bestName>
					<swrc-ext:hashCode>-2027299237</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#rudi_studer">
					<foaf:name>Studer, Rudi</foaf:name>
					<foaf:name>Rudi Studer</foaf:name>
					<swrc-ext:bestName>Rudi Studer</swrc-ext:bestName>
					<swrc-ext:bestName>Rudi Studer</swrc-ext:bestName>
					<swrc-ext:hashCode>-1395113782</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:number>3</swrc:number>
			<swrc:title>Editorial</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008106/EditorialV6I3.pdf"/>
		</swrc:Publication>
	</burst:publication>
</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Hu08">
	<title>Falcon-AO: A practical ontology matching system</title>
	<link>http://www.websemanticsjournal.org/papers/2008722/Falcon-AOHuV6I3.pdf</link>
	<description rdf:parseType="Literal">In this paper, we introduce a general overview of Falcon-AO: a practical ontology matching system with acceptable to good performance and a number of remarkable features. Furthermore, Falcon-AO is one of the best systems in all kinds of tests in the latest three years¡¯ OAEI campaigns. Falcon-AO is written in Java, and is open source.</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Hu08">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>Wei Hu, Yuzhong Qu. Falcon-AO: A practical ontology matching system. Journal of Web Semantics 6(3), 2008</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">In this paper, we introduce a general overview of Falcon-AO: a practical ontology matching system with acceptable to good performance and a number of remarkable features. Furthermore, Falcon-AO is one of the best systems in all kinds of tests in the latest three years¡¯ OAEI campaigns. Falcon-AO is written in Java, and is open source.</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#wei_hu">
					<foaf:name>Wei Hu</foaf:name>
					<swrc-ext:bestName>Wei Hu</swrc-ext:bestName>
					<swrc-ext:bestName>Wei Hu</swrc-ext:bestName>
					<swrc-ext:hashCode>-14420425</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#yuzhong_qu">
					<foaf:name>Qu, Yuzhong</foaf:name>
					<foaf:name>Yuzhong Qu</foaf:name>
					<swrc-ext:bestName>Yuzhong Qu</swrc-ext:bestName>
					<swrc-ext:bestName>Yuzhong Qu</swrc-ext:bestName>
					<swrc-ext:hashCode>149916514</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Ontology matching, Data integration, Semantic interoperability</swrc:keywords>
			<swrc:number>3</swrc:number>
			<swrc:title>Falcon-AO: A practical ontology matching system</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008722/Falcon-AOHuV6I3.pdf"/>
		</swrc:Publication>
	</burst:publication>
</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Lukasiewicza08">
	<title>Managing uncertainty and vagueness in description logics for the SemanticWeb</title>
	<link>http://www.websemanticsjournal.org/papers/2008722/ManaginguncertaintyandvaguenessStracciaV6I4.pdf</link>
	<description rdf:parseType="Literal">Ontologies play a crucial role in the development of the Semantic Web as a means for defining shared terms in web resources. They are formulated in web ontology languages, which are based on expressive description logics. Significant research efforts in the semantic web community are recently directed towards representing and reasoning with uncertainty and vagueness in ontologies for the SemanticWeb. In this paper, we give an overview of approaches in this context to managing probabilistic uncertainty, possibilistic uncertainty, and vagueness in expressive description logics for the SemanticWeb. .</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Lukasiewicza08">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>Thomas Lukasiewicza, Umberto Stracciab. Managing uncertainty and vagueness in description logics for the SemanticWeb. Journal of Web Semantics 6(4), 2008</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">Ontologies play a crucial role in the development of the Semantic Web as a means for defining shared terms in web resources. They are formulated in web ontology languages, which are based on expressive description logics. Significant research efforts in the semantic web community are recently directed towards representing and reasoning with uncertainty and vagueness in ontologies for the SemanticWeb. In this paper, we give an overview of approaches in this context to managing probabilistic uncertainty, possibilistic uncertainty, and vagueness in expressive description logics for the SemanticWeb. .</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#thomas_lukasiewicza">
					<foaf:name>Thomas Lukasiewicza</foaf:name>
					<swrc-ext:bestName>Thomas Lukasiewicza</swrc-ext:bestName>
					<swrc-ext:bestName>Thomas Lukasiewicza</swrc-ext:bestName>
					<swrc-ext:hashCode>-1535719875</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#umberto_stracciab">
					<foaf:name>Umberto Stracciab</foaf:name>
					<swrc-ext:bestName>Umberto Stracciab</swrc-ext:bestName>
					<swrc-ext:bestName>Umberto Stracciab</swrc-ext:bestName>
					<swrc-ext:hashCode>1086997959</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Description logics, Web ontology languages, Ontologies, Probabilistic uncertainty, Possibilistic uncertainty, Vagueness, Imprecision, SemanticWeb</swrc:keywords>
			<swrc:number>4</swrc:number>
			<swrc:title>Managing uncertainty and vagueness in description logics for the SemanticWeb</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008722/ManaginguncertaintyandvaguenessStracciaV6I4.pdf"/>
		</swrc:Publication>
	</burst:publication>
</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23McDowell08">
	<title>Ontology-driven, unsupervised instance population</title>
	<link>http://www.websemanticsjournal.org/papers/2008722/OntologydrivenunsupervisedinstancepopulationMcDowellV6I3.pdf</link>
	<description rdf:parseType="Literal">The Semantic Web¡¯s need for machine understandable content has led researchers to attempt to automatically acquire such content from a number of sources, including the web. To date, such research has focused on ¡°document-driven¡± systems that individually process a small set of documents, annotating each with respect to a given ontology. This article introduces OntoSyphon, an alternative that strives to more fully leverage existing ontological content while scaling to extract comparatively shallow content from millions of documents. OntoSyphon operates in an ¡°ontology-driven¡± manner: taking any ontology as input, OntoSyphon uses the ontology to specifyweb searches that identify possible semantic instances, relations, and taxonomic information. Redundancy in theweb, together with information from the ontology, is then used to automatically verify these candidate instances and relations, enabling OntoSyphon to operate in a fully automated, unsupervised manner. A prototype of OntoSyphon is fully implemented and we present experimental results that demonstrate substantial instance population in three domains based on independently constructed ontologies.We show that using the whole web as a corpus for verification yields the best results, but that using a much smaller web corpus can also yield strong performance. In addition, we consider the problem of selecting the best class for each candidate instance that is discovered, and the problem of ranking the final results. For both problems we introduce new solutions and demonstrate that, for both the small and large corpora, they consistently improve upon previously known techniques.</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#McDowell08">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>Luke K. McDowell, Michael Cafarella. Ontology-driven, unsupervised instance population. Journal of Web Semantics 6(3), 2008</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">The Semantic Web¡¯s need for machine understandable content has led researchers to attempt to automatically acquire such content from a number of sources, including the web. To date, such research has focused on ¡°document-driven¡± systems that individually process a small set of documents, annotating each with respect to a given ontology. This article introduces OntoSyphon, an alternative that strives to more fully leverage existing ontological content while scaling to extract comparatively shallow content from millions of documents. OntoSyphon operates in an ¡°ontology-driven¡± manner: taking any ontology as input, OntoSyphon uses the ontology to specifyweb searches that identify possible semantic instances, relations, and taxonomic information. Redundancy in theweb, together with information from the ontology, is then used to automatically verify these candidate instances and relations, enabling OntoSyphon to operate in a fully automated, unsupervised manner. A prototype of OntoSyphon is fully implemented and we present experimental results that demonstrate substantial instance population in three domains based on independently constructed ontologies.We show that using the whole web as a corpus for verification yields the best results, but that using a much smaller web corpus can also yield strong performance. In addition, we consider the problem of selecting the best class for each candidate instance that is discovered, and the problem of ranking the final results. For both problems we introduce new solutions and demonstrate that, for both the small and large corpora, they consistently improve upon previously known techniques.</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#luke_k_mcdowell">
					<foaf:name>McDowell, Luke</foaf:name>
					<foaf:name>Luke K. McDowell</foaf:name>
					<swrc-ext:bestName>Luke K. McDowell</swrc-ext:bestName>
					<swrc-ext:bestName>Luke K. McDowell</swrc-ext:bestName>
					<swrc-ext:hashCode>1624678708</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#michael_cafarella">
					<foaf:name>Michael Cafarella</foaf:name>
					<swrc-ext:bestName>Michael Cafarella</swrc-ext:bestName>
					<swrc-ext:bestName>Michael Cafarella</swrc-ext:bestName>
					<swrc-ext:hashCode>-1209354185</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>SemanticWeb, Ontology-driven, Instance population, Classification, Confidence assessment</swrc:keywords>
			<swrc:number>3</swrc:number>
			<swrc:title>Ontology-driven, unsupervised instance population</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008722/OntologydrivenunsupervisedinstancepopulationMcDowellV6I3.pdf"/>
		</swrc:Publication>
	</burst:publication>
</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Motik08">
	<title>OWL 1.1: The Next Step for OWL</title>
	<link>http://www.websemanticsjournal.org/papers/2008620/V6I4NextStepforOwlMotik.pdf</link>
	<description rdf:parseType="Literal">Since achieving W3C recommendation status in 2004, the OWL Web Ontology Language has been successfully applied to many problems in computer science. Although generally very successful, this practical experience with OWL has also revealed that there is room for improvement in several areas. We present a systematic analysis of identified shortcomings of OWL, such as expressivity issues, problems with its syntaxes, and deficiencies in the definition of OWL fragments. Furthermore, we present OWL 1.1- -an extension to and revision of OWL that is currently being developed by a group of OWL users and developers. Many aspects of OWL have been thoroughly reengineered in OWL 1.1, thus producing a robust platform for future development of the language.</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Motik08">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>Dr Boris Motik. OWL 1.1: The Next Step for OWL. Journal of Web Semantics 6(4), 2008</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">Since achieving W3C recommendation status in 2004, the OWL Web Ontology Language has been successfully applied to many problems in computer science. Although generally very successful, this practical experience with OWL has also revealed that there is room for improvement in several areas. We present a systematic analysis of identified shortcomings of OWL, such as expressivity issues, problems with its syntaxes, and deficiencies in the definition of OWL fragments. Furthermore, we present OWL 1.1- -an extension to and revision of OWL that is currently being developed by a group of OWL users and developers. Many aspects of OWL have been thoroughly reengineered in OWL 1.1, thus producing a robust platform for future development of the language.</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#dr_boris_motik">
					<foaf:name>Dr Boris Motik</foaf:name>
					<swrc-ext:bestName>Dr Boris Motik</swrc-ext:bestName>
					<swrc-ext:bestName>Dr Boris Motik</swrc-ext:bestName>
					<swrc-ext:hashCode>-1933690183</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Semantic Web, Ontology Modeling, OWL</swrc:keywords>
			<swrc:number>4</swrc:number>
			<swrc:title>OWL 1.1: The Next Step for OWL</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008620/V6I4NextStepforOwlMotik.pdf"/>
		</swrc:Publication>
	</burst:publication>
</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Celma2008">
	<title>ZemPod: A semantic web approach to podcasting</title>
	<link>http://www.websemanticsjournal.org/papers/2008610/ZempodCelmaV6I2.pdf</link>
	<description rdf:parseType="Literal">In this paper we present a semantic web approach to solve some current limitations of podcasting. The main shortcomings of podcasts are two. The first one is that there is no formal description of the contents of a podcast session, apart from a textual description only available in HTML. The second problem is that a podcast session consists of a single audio file. Thus, it is very difficult to seek into one of the music tracks that compose a podcast. Our proposal to cope with these problems uses traditional audio signal processing such as speech versus music segmentation, and audio identification, and semantic web techniques to automatically describe and decompose the audio content of a podcast session. Yet, we believe that adding semantics to the podcast to explain its content, and decomposing it into smaller and meaningful chunks (that permits seeking into the inner parts of the file) will ease important music information retrieval tasks, such as recommendation, filtering and discovery</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Celma2008">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>Oscar Celma, Yves Raimond. ZemPod: A semantic web approach to podcasting. Journal of Web Semantics 6(2), 2008</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">In this paper we present a semantic web approach to solve some current limitations of podcasting. The main shortcomings of podcasts are two. The first one is that there is no formal description of the contents of a podcast session, apart from a textual description only available in HTML. The second problem is that a podcast session consists of a single audio file. Thus, it is very difficult to seek into one of the music tracks that compose a podcast. Our proposal to cope with these problems uses traditional audio signal processing such as speech versus music segmentation, and audio identification, and semantic web techniques to automatically describe and decompose the audio content of a podcast session. Yet, we believe that adding semantics to the podcast to explain its content, and decomposing it into smaller and meaningful chunks (that permits seeking into the inner parts of the file) will ease important music information retrieval tasks, such as recommendation, filtering and discovery</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#oscar_celma">
					<foaf:name>Oscar Celma</foaf:name>
					<swrc-ext:bestName>Oscar Celma</swrc-ext:bestName>
					<swrc-ext:bestName>Oscar Celma</swrc-ext:bestName>
					<swrc-ext:hashCode>551355337</swrc-ext:hashCode>
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			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#yves_raimond">
					<foaf:name>Yves Raimond</foaf:name>
					<swrc-ext:bestName>Yves Raimond</swrc-ext:bestName>
					<swrc-ext:bestName>Yves Raimond</swrc-ext:bestName>
					<swrc-ext:hashCode>-1879838844</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Podcasting, Semantic web, Audio, Music ontology, Music information retrieval</swrc:keywords>
			<swrc:number>2</swrc:number>
			<swrc:title>ZemPod: A semantic web approach to podcasting</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008610/ZempodCelmaV6I2.pdf"/>
		</swrc:Publication>
	</burst:publication>
</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Garcia2008">
	<title>The semantic web as a newspaper media convergence facilitator</title>
	<link>http://www.websemanticsjournal.org/papers/2008610/SemanticWebasNewspapermediaconvergencefacilitatorGarciaV6I2.pdf</link>
	<description rdf:parseType="Literal">Newspapers are evolving and this causes great changes in how newspapers reach their consumers, but also in how newspapers work internally. Advanced computerised support is needed in order to cope with the new needs, which require that machines are aware of a greater part of the underlying semantics. Ontologies and Semantic Web technologies are clear candidates for web-wide semantics. However, newspapers have made great investments in their current news management systems and their wish is to undertake a smooth transition. Our proposal is to build an ontological framework based on existing journalism and multimedia standards. These standards are based on XML technologies. Therefore, we have developed a generic XML Schema to OWL mapping, complemented with an XML to RDF one. Together, they allow reusing existing metadata that, once in a semantic space, facilitates data integration, news management and retrieval. The resulting ontological framework is being applied in the Diari Segre Media Group1, which produces press, radio and television content.</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Garcia2008">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>Roberto Garcia, Ferran Perdrix, Rosa Gil, Marta Oliva. The semantic web as a newspaper media convergence facilitator. Journal of Web Semantics 6(2), 2008</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">Newspapers are evolving and this causes great changes in how newspapers reach their consumers, but also in how newspapers work internally. Advanced computerised support is needed in order to cope with the new needs, which require that machines are aware of a greater part of the underlying semantics. Ontologies and Semantic Web technologies are clear candidates for web-wide semantics. However, newspapers have made great investments in their current news management systems and their wish is to undertake a smooth transition. Our proposal is to build an ontological framework based on existing journalism and multimedia standards. These standards are based on XML technologies. Therefore, we have developed a generic XML Schema to OWL mapping, complemented with an XML to RDF one. Together, they allow reusing existing metadata that, once in a semantic space, facilitates data integration, news management and retrieval. The resulting ontological framework is being applied in the Diari Segre Media Group1, which produces press, radio and television content.</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#roberto_garcia">
					<foaf:name>Roberto Garcia</foaf:name>
					<swrc-ext:bestName>Roberto Garcia</swrc-ext:bestName>
					<swrc-ext:bestName>Roberto Garcia</swrc-ext:bestName>
					<swrc-ext:hashCode>1355258875</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#ferran_perdrix">
					<foaf:name>Ferran Perdrix</foaf:name>
					<swrc-ext:bestName>Ferran Perdrix</swrc-ext:bestName>
					<swrc-ext:bestName>Ferran Perdrix</swrc-ext:bestName>
					<swrc-ext:hashCode>-1003024627</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#rosa_gil">
					<foaf:name>Rosa Gil</foaf:name>
					<swrc-ext:bestName>Rosa Gil</swrc-ext:bestName>
					<swrc-ext:bestName>Rosa Gil</swrc-ext:bestName>
					<swrc-ext:hashCode>-524281060</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#marta_oliva">
					<foaf:name>Marta Oliva</foaf:name>
					<swrc-ext:bestName>Marta Oliva</swrc-ext:bestName>
					<swrc-ext:bestName>Marta Oliva</swrc-ext:bestName>
					<swrc-ext:hashCode>-1392193827</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>News, Newspaper, Ontology, Multimedia, Integration</swrc:keywords>
			<swrc:number>2</swrc:number>
			<swrc:title>The semantic web as a newspaper media convergence facilitator</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008610/SemanticWebasNewspapermediaconvergencefacilitatorGarciaV6I2.pdf"/>
		</swrc:Publication>
	</burst:publication>
</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Bocconi2008">
	<title>Automatic generation of matter-of-opinion video documentaries</title>
	<link>http://www.websemanticsjournal.org/papers/2008610/AutogenerationofMatterofopinionvideodocsBocconiV6I2.pdf</link>
	<description rdf:parseType="Literal">In this paper we describe a model for automatically generating video documentaries. This allows viewers to specify the subject and the point of view of the documentary to be generated. The domain is matter-of-opinion documentaries based on interviews. The model combines rhetorical presentation patterns used by documentary makers with a data-driven approach. Rhetorical presentation patterns provide the viewer with an engaging viewing experience, while a data-driven approach can be applied to growing media repositories. To date, the modeling of rhetoric has been achieved in a top-down manner using closed repositories, while data-driven generation approaches were unable to implement non-trivial rhetorical presentation patterns. We describe an implementation of our model in a system, Vox Populi, and apply it to an online documentary shot by a group of independent amateur documentarists.</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Bocconi2008">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>Stefano Bocconi, Frank Nack, Lynda Hardman. Automatic generation of matter-of-opinion video documentaries. Journal of Web Semantics 6(2), 2008</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">In this paper we describe a model for automatically generating video documentaries. This allows viewers to specify the subject and the point of view of the documentary to be generated. The domain is matter-of-opinion documentaries based on interviews. The model combines rhetorical presentation patterns used by documentary makers with a data-driven approach. Rhetorical presentation patterns provide the viewer with an engaging viewing experience, while a data-driven approach can be applied to growing media repositories. To date, the modeling of rhetoric has been achieved in a top-down manner using closed repositories, while data-driven generation approaches were unable to implement non-trivial rhetorical presentation patterns. We describe an implementation of our model in a system, Vox Populi, and apply it to an online documentary shot by a group of independent amateur documentarists.</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#stefano_bocconi">
					<foaf:name>Stefano Bocconi</foaf:name>
					<swrc-ext:bestName>Stefano Bocconi</swrc-ext:bestName>
					<swrc-ext:bestName>Stefano Bocconi</swrc-ext:bestName>
					<swrc-ext:hashCode>-801121928</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#frank_nack">
					<foaf:name>Frank Nack</foaf:name>
					<swrc-ext:bestName>Frank Nack</swrc-ext:bestName>
					<swrc-ext:bestName>Frank Nack</swrc-ext:bestName>
					<swrc-ext:hashCode>1885942446</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#lynda_hardman">
					<foaf:name>Lynda Hardman</foaf:name>
					<swrc-ext:bestName>Lynda Hardman</swrc-ext:bestName>
					<swrc-ext:bestName>Lynda Hardman</swrc-ext:bestName>
					<swrc-ext:hashCode>745347464</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Video editing, Semantic media annotations, Toulmin-based argumentation, Documentary rhetoric, User-specified point-of-view</swrc:keywords>
			<swrc:number>2</swrc:number>
			<swrc:title>Automatic generation of matter-of-opinion video documentaries</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008610/AutogenerationofMatterofopinionvideodocsBocconiV6I2.pdf"/>
		</swrc:Publication>
	</burst:publication>
</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Avrithis2008">
	<title>Editorial for Semantic Multimedia S.I.</title>
	<link>http://www.websemanticsjournal.org/papers/2008610/EditorialAvrithisV6I2.pdf</link>
	<description>Yannis Avrithis, Noel E O'Connor, Steffen Staab, Raphael Troncy. Editorial for Semantic Multimedia S.I.. Journal of Web Semantics 6(2), 2008</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Avrithis2008">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>Yannis Avrithis, Noel E O'Connor, Steffen Staab, Raphael Troncy. Editorial for Semantic Multimedia S.I.. Journal of Web Semantics 6(2), 2008</rdfs:label>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#yannis_avrithis">
					<foaf:name>Yannis Avrithis</foaf:name>
					<swrc-ext:bestName>Yannis Avrithis</swrc-ext:bestName>
					<swrc-ext:bestName>Yannis Avrithis</swrc-ext:bestName>
					<swrc-ext:hashCode>-409054607</swrc-ext:hashCode>
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			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#noel_e_o'connor">
					<foaf:name>Noel E O'Connor</foaf:name>
					<swrc-ext:bestName>Noel E O'Connor</swrc-ext:bestName>
					<swrc-ext:bestName>Noel E O'Connor</swrc-ext:bestName>
					<swrc-ext:hashCode>140344242</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#steffen_staab">
					<foaf:name>Staab, Steffen</foaf:name>
					<foaf:name>Steffen Staab</foaf:name>
					<swrc-ext:bestName>Steffen Staab</swrc-ext:bestName>
					<swrc-ext:bestName>Steffen Staab</swrc-ext:bestName>
					<swrc-ext:hashCode>-567307904</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#raphael_troncy">
					<foaf:name>Raphael Troncy</foaf:name>
					<swrc-ext:bestName>Raphael Troncy</swrc-ext:bestName>
					<swrc-ext:bestName>Raphael Troncy</swrc-ext:bestName>
					<swrc-ext:hashCode>1721316567</swrc-ext:hashCode>
				</swrc:Person>
			</swrc:author>
			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Editorial</swrc:keywords>
			<swrc:number>2</swrc:number>
			<swrc:title>Editorial for Semantic Multimedia S.I.</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008610/EditorialAvrithisV6I2.pdf"/>
		</swrc:Publication>
	</burst:publication>
</item>
<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Domingue07">
	<title>IRS-III: A broker-based approach to semantic Web services</title>
	<link>http://www.websemanticsjournal.org/papers/2008314/IRS-IIIDomingueV6I2.pdf</link>
	<description rdf:parseType="Literal">A factor limiting the take up ofWeb services is that all tasks associated with the creation of an application, for example, finding, composing, and resolving mismatches between Web services have to be carried out by a software developer. Semantic Web services is a combination of semantic Web and Web service technologies that promise to alleviate these problems. In this paper we describe IRS-III, a framework for creating and executing semantic Web services, which takes a semantic broker-based approach to mediating between service requesters and service providers. We describe the overall approach and the components of IRS-III from an ontological and architectural viewpoint. We then illustrate our approach through an application in the eGovernment domain.</description>
	<burst:publication>
		<swrc:Publication rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#Domingue07">
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Publication"/>
			<rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/>
			<rdfs:label>John Domingue, Liliana Cabral, Stefania Galizia, Vlad Tanasescu, Alessio Gugliotta, Barry Norton, Carlos Pedrinaci. IRS-III: A broker-based approach to semantic Web services. Journal of Web Semantics 6(2), 2008</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">A factor limiting the take up ofWeb services is that all tasks associated with the creation of an application, for example, finding, composing, and resolving mismatches between Web services have to be carried out by a software developer. Semantic Web services is a combination of semantic Web and Web service technologies that promise to alleviate these problems. In this paper we describe IRS-III, a framework for creating and executing semantic Web services, which takes a semantic broker-based approach to mediating between service requesters and service providers. We describe the overall approach and the components of IRS-III from an ontological and architectural viewpoint. We then illustrate our approach through an application in the eGovernment domain.</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#john_domingue">
					<foaf:name>John Domingue</foaf:name>
					<swrc-ext:bestName>John Domingue</swrc-ext:bestName>
					<swrc-ext:bestName>John Domingue</swrc-ext:bestName>
					<swrc-ext:hashCode>1965112862</swrc-ext:hashCode>
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			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#liliana_cabral">
					<foaf:name>Liliana Cabral</foaf:name>
					<swrc-ext:bestName>Liliana Cabral</swrc-ext:bestName>
					<swrc-ext:bestName>Liliana Cabral</swrc-ext:bestName>
					<swrc-ext:hashCode>-1486882396</swrc-ext:hashCode>
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			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#stefania_galizia">
					<foaf:name>Stefania Galizia</foaf:name>
					<swrc-ext:bestName>Stefania Galizia</swrc-ext:bestName>
					<swrc-ext:bestName>Stefania Galizia</swrc-ext:bestName>
					<swrc-ext:hashCode>-993476183</swrc-ext:hashCode>
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			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#vlad_tanasescu">
					<foaf:name>Vlad Tanasescu</foaf:name>
					<swrc-ext:bestName>Vlad Tanasescu</swrc-ext:bestName>
					<swrc-ext:bestName>Vlad Tanasescu</swrc-ext:bestName>
					<swrc-ext:hashCode>-1332487149</swrc-ext:hashCode>
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			</swrc:author>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#alessio_gugliotta">
					<foaf:name>Alessio Gugliotta</foaf:name>
					<swrc-ext:bestName>Alessio Gugliotta</swrc-ext:bestName>
					<swrc-ext:bestName>Alessio Gugliotta</swrc-ext:bestName>
					<swrc-ext:hashCode>1433282979</swrc-ext:hashCode>
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			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#barry_norton">
					<foaf:name>Barry Norton</foaf:name>
					<swrc-ext:bestName>Barry Norton</swrc-ext:bestName>
					<swrc-ext:bestName>Barry Norton</swrc-ext:bestName>
					<swrc-ext:hashCode>838846573</swrc-ext:hashCode>
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				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#carlos_pedrinaci">
					<foaf:name>Carlos Pedrinaci</foaf:name>
					<swrc-ext:bestName>Carlos Pedrinaci</swrc-ext:bestName>
					<swrc-ext:bestName>Carlos Pedrinaci</swrc-ext:bestName>
					<swrc-ext:hashCode>1987601058</swrc-ext:hashCode>
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			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Semantic Web, Semantic Web services,Ontology, WSMO, IRS-III</swrc:keywords>
			<swrc:keywords>Semantic Web,Semantic Web services, Ontology, WSMO, IRS-III</swrc:keywords>
			<swrc:number>2</swrc:number>
			<swrc:title>IRS-III: A broker-based approach to semantic Web services</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008314/IRS-IIIDomingueV6I2.pdf"/>
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<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Noy07">
	<title>Translating the Foundational Model of Anatomy into OWL</title>
	<link>http://www.websemanticsjournal.org/papers/2008314/TranslatingtheFoundationalModelofAnatomyintoOWLNoyV6I2.pdf</link>
	<description rdf:parseType="Literal">The Foundational Model of Anatomy (FMA) represents the result of manual and disciplined modeling of the structural organization of the human body. It is a tremendous resource in bioinformatics that facilitates sharing of information among applications that use anatomy knowledge. The FMA was developed in Protege and the Protege frames language is the canonical representation language for the FMA. We present a translation of the original Protege frame representation of the FMA into OWL. Our effort is complementary to the earlier efforts to represent FMA in OWL and is focused on two main goals: (1) representing only the information that is explicitly present in the frames representation of the FMA or that can be directly inferred from the semantics of Protege frames; (2) representing all the information that is present in the frames representation of the FMA, thus producing an OWL representation for the complete FMA. Our complete representation of the FMA in OWL consists of two components: an OWL DL component that contains the FMA constructs that are compatible with OWL DL; and an OWL Full component that imports the OWL DL component and adds the FMA constructs that OWL DL does not allow.</description>
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			<rdfs:label>Natalya F Noy, Daniel L Rubin. Translating the Foundational Model of Anatomy into OWL. Journal of Web Semantics 6(2), 2008</rdfs:label>
			<rdfs:label>Natalya F. Noy , Daniel L. Rubin. Translating the Foundational Model of Anatomy into OWL. Journal of Web Semantics 6(2), 2008</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">The Foundational Model of Anatomy (FMA) represents the result of manual and disciplined modeling of the structural organization of the human body. It is a tremendous resource in bioinformatics that facilitates sharing of information among applications that use anatomy knowledge. The FMA was developed in Protege and the Protege frames language is the canonical representation language for the FMA. We present a translation of the original Protege frame representation of the FMA into OWL. Our effort is complementary to the earlier efforts to represent FMA in OWL and is focused on two main goals: (1) representing only the information that is explicitly present in the frames representation of the FMA or that can be directly inferred from the semantics of Protege frames; (2) representing all the information that is present in the frames representation of the FMA, thus producing an OWL representation for the complete FMA. Our complete representation of the FMA in OWL consists of two components: an OWL DL component that contains the FMA constructs that are compatible with OWL DL; and an OWL Full component that imports the OWL DL component and adds the FMA constructs that OWL DL does not allow.</swrc:abstract>
			<swrc:abstract rdf:parseType="Literal">The Foundational Model of Anatomy (FMA) represents the result of manual and disciplined modeling of the structural organization of the human body. It is a tremendous resource in bioinformatics that facilitates sharing of information among applications that use anatomy knowledge. The FMA was developed in Protege and the Protege frames language is the canonical representation language for the FMA. We present a translation of the original Protege frame representation of the FMA into OWL. Our effort is complementary to the earlier efforts to represent FMA in OWL and is focused on two main goals: (1) representing only the information that is explicitly present in the frames representation of the FMA or that can be directly inferred from the semantics of Protege frames; (2) representing all the information that is present in the frames representation of the FMA, thus producing an OWL representation for the complete FMA. Our complete representation of the FMA in OWL consists of two components: an OWL DL component that contains the FMA constructs that are compatible with OWL DL; and an OWL Full component that imports the OWL DL component and adds the FMA constructs that OWL DL does not allow</swrc:abstract>
			<swrc:author>
				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#natalya_f_noy">
					<foaf:name>Natalya F Noy</foaf:name>
					<foaf:name>Natalya F. Noy , Daniel L. Rubin</foaf:name>
					<swrc-ext:bestName>Daniel L. Rubin Natalya F. Noy</swrc-ext:bestName>
					<swrc-ext:bestName>Daniel L. Rubin Natalya F. Noy</swrc-ext:bestName>
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					<foaf:name>Daniel L Rubin</foaf:name>
					<swrc-ext:bestName>Daniel L Rubin</swrc-ext:bestName>
					<swrc-ext:bestName>Daniel L Rubin</swrc-ext:bestName>
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			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Ontology, OWL, Semantic Web, Foundational Model of Anatomy</swrc:keywords>
			<swrc:number>2</swrc:number>
			<swrc:title>Translating the Foundational Model of Anatomy into OWL</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008314/TranslatingtheFoundationalModelofAnatomyintoOWLNoyV6I2.pdf"/>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2008610/TranslatingtheFoundationalModelofAnatomyintoOWLNoyV6I2.pdf"/>
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<item rdf:about="http://130.88.195.221:8080/openacademia/build.do?publicationURI=http%3A%2F%2Fwww.websemanticsjournal.org%2Fdbimportentry%2Fbibtex.bib%23Jensen07">
	<title>A method for computing lexical semantic distance using linear functionals</title>
	<link>http://www.websemanticsjournal.org/papers/2008314/AMethodforComputingLexicalSemanticDistanceusingLinearFunctionalsJensenV6I2.pdf</link>
	<description rdf:parseType="Literal">This paper presents a novel, knowledge-based method for measuring semantic similarity in support of applications aimed at organizing and retrieving relevant textual information. We show how a quantitative context may be established for what is essentially qualitative in nature by effecting a topological transformation of the lexicon into a metric space where distance is well-defined. We illustrate the technique with a simple example and report on promising experimental results with a significant word similarity problem.</description>
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			<rdfs:label>Del Jensen, Christophe Giraud-Carrier, Nathan Davis. A method for computing lexical semantic distance using linear functionals. Journal of Web Semantics 6(2), 2008</rdfs:label>
			<rdfs:label>Del Jensen, Christophe Giraud-Carrier andNathan Davis. A method for computing lexical semantic distance using linear functionals. Journal of Web Semantics 6(2), 2008</rdfs:label>
			<swrc:abstract rdf:parseType="Literal">This paper presents a novel, knowledge-based method for measuring semantic similarity in support of applications aimed at organizing and retrieving relevant textual information. We show how a quantitative context may be established for what is essentially qualitative in nature by effecting a topological transformation of the lexicon into a metric space where distance is well-defined. We illustrate the technique with a simple example and report on promising experimental results with a significant word similarity problem.</swrc:abstract>
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				<swrc:Person rdf:about="http://www.websemanticsjournal.org/dbimportentry/bibtex.bib#del_jensen">
					<foaf:name>Del Jensen</foaf:name>
					<swrc-ext:bestName>Del Jensen</swrc-ext:bestName>
					<swrc-ext:bestName>Del Jensen</swrc-ext:bestName>
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					<foaf:name>Christophe Giraud-Carrier</foaf:name>
					<foaf:name>Christophe Giraud-Carrier andNathan Davis</foaf:name>
					<swrc-ext:bestName>Christophe Giraud-Carrier andNathan Davis</swrc-ext:bestName>
					<swrc-ext:bestName>Christophe Giraud-Carrier andNathan Davis</swrc-ext:bestName>
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					<foaf:name>Nathan Davis</foaf:name>
					<swrc-ext:bestName>Nathan Davis</swrc-ext:bestName>
					<swrc-ext:bestName>Nathan Davis</swrc-ext:bestName>
					<swrc-ext:hashCode>-295702114</swrc-ext:hashCode>
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			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Semantic distance, Knowledge-based semantics,Topological embedding</swrc:keywords>
			<swrc:number>2</swrc:number>
			<swrc:title>A method for computing lexical semantic distance using linear functionals</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
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	<title>Editorial. Semantic Web &amp; Web 2.0</title>
	<link>http://www.websemanticsjournal.org/papers/2007119/EditorialV6I1MikaGreaves.pdf</link>
	<description>Peter Mika, Mark Greaves. Editorial. Semantic Web &amp; Web 2.0. Journal of Web Semantics 6(1), 2008</description>
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					<foaf:name>Mika, Peter</foaf:name>
					<foaf:name>Peter Mika</foaf:name>
					<swrc-ext:bestName>Peter Mika</swrc-ext:bestName>
					<swrc-ext:bestName>Peter Mika</swrc-ext:bestName>
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					<foaf:name>Mark Greaves</foaf:name>
					<swrc-ext:bestName>Mark Greaves</swrc-ext:bestName>
					<swrc-ext:bestName>Mark Greaves</swrc-ext:bestName>
					<swrc-ext:hashCode>-1722488495</swrc-ext:hashCode>
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			<swrc:journal>Journal of Web Semantics</swrc:journal>
			<swrc:keywords>Web 2.0</swrc:keywords>
			<swrc:number>1</swrc:number>
			<swrc:title>Editorial. Semantic Web &amp; Web 2.0</swrc:title>
			<swrc:volume>6</swrc:volume>
			<swrc:year>2008</swrc:year>
			<swrc:url rdf:resource="http://www.websemanticsjournal.org/papers/2007119/EditorialV6I1MikaGreaves.pdf"/>
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