JWS Special Issue on Knowledge Graphs
Knowledge graphs are large networks of entities, their semantic types, properties, and relationships between entities. They have become a powerful asset for search, analytics, recommendations, and data integration. Rooted in academic research and community projects such as DBpedia, Freebase, Yago, BabelNet, ConceptNet, Nell, Wikidata, WikiTaxonomy, and others, knowledge graphs are now intensively used at big industrial stakeholders. Examples are the Google Knowledge Graph, Facebook's Graph Search, Microsoft Satori, Yahoo Knowledge, as well as thematically specialized knowledge bases in business, finance, life sciences and more. Many of these knowledge sources are available as Linked Open Data or RDF exports.
The goal of this special issue is to provide a stage for research on recent advances in knowledge graphs and their underlying semantic technologies. Traditional challenges of scalability, information quality, and data integration are of interest, but also specific projects that publish, study, or use knowledge graphs in innovative ways. More specifically, we expect submissions on (but not restricted to) the following topics.
- Creation and curation of knowledge graphs
- Automatic and semi-automatic creation of knowledge graphs
- Data integration, disambiguation, schema alignment
- Collaborative management of knowledge graphs
- Quality control: noisy data, uncertainty, incomplete information
- New kinds of knowledge graphs: common-sense, visual knowledge, etc.
- Management and querying of knowledge graphs
- Architectures for managing big graphs
- Expressive query answering
- Reasoning with large-scale, dynamic data
- Data dynamics, update, and synchronization
- Synthetic graphs and graph benchmarks
- Applications of knowledge graphs
- Innovative uses of knowledge graphs
- Understanding and analyzing knowledge graphs
- Semantic search
- Question answering
- Combining knowledge graphs with other information resources
- Markus Kroetzsch (primary contact), TU Dresden, email@example.com
- Gerhard Weikum, Max Planck Institute for Informatics, firstname.lastname@example.org
- Marcelo Arenas, Pontificia Universidad Catolica de Chile
- Sören Auer, U Bonn
- Philipp Cimiano, U Bielefeld
- AnHai Doan, U Wisconsin
- Michel Dumontier, Stanford U
- Aidan Hogan, Universidad de Chile
- Maurizio Lenzerini, U "La Sapienza" Rome
- Peter Mika, Yahoo!
- Roberto Navigli, U "La Sapienza" Rome
- Peter F. Patel-Schneider, Nuance Communications
- Axel Polleres, WU Wien
- Heiner Stuckenschmidt, U Mannheim
- Fabian Suchanek, Télécom ParisTech University
- Partha Talukdar, IIT Bangalore
- Frank van Harmelen, Vrije Universiteit Amsterdam
- Maria-Esther Vidal, Universidad Simon Bolivar, Caracas
- Denny Vrandecic, Google
Important DatesWe will aim at an efficient publication cycle in order to guarantee prompt availability of the published results. We will review papers on a rolling basis as they are submitted and explicitly encourage submissions well before the submission deadline. Submit papers online at the journal's Elsevier Web site.
- Submission deadline: 28
- Author notification: 30 June 2015
- Final version: 31 August 2015
- Final notification: 31 October 2015
- Publication: late 2015/early 2016
Submission guidelinesThe Journal of Web Semantics solicits original scientific contributions of high quality. Following the overall mission of the journal, we emphasize the publication of papers that combine theories, methods and experiments from different subject areas in order to deliver innovative semantic methods and applications. The publication of large-scale experiments and their analysis is also encouraged to clearly illustrate scenarios and methods that introduce semantics into existing Web interfaces, contents and services.
Submission of your manuscript is welcome provided that it, or any translation of it, has not been copyrighted or published and is not being submitted for publication elsewhere. Manuscripts should be prepared for publication in accordance with instructions given in the JWS guide for authors. The submission and review process will be carried out using Elsevier's Web-based EES system. To ensure that all manuscripts are correctly identified for inclusion into the special issue, it is important that authors select "S.I.: Knowledge Graphs" at the "Article Type" step in the submission process.
Upon acceptance of an article, the author(s) will be asked to transfer copyright of the article to the publisher. This transfer will ensure the widest possible dissemination of information. Elsevier's liberal preprint policy permits authors and their institutions to host preprints on their web sites. Preprints of the articles will be made freely accessible on the JWS preprint server. Final copies of accepted publications will appear in print and at Elsevier's archival online server.