Semantic Annotation for Knowledge Management: Requirements and a Survey of the State of the Art

Victoria Uren, Philipp Cimiano, Jose Iria, Siegfried Handschuh, Maria Vargas-Vera, Enrico Motta, Fabio Ciravegna

Abstract


While much of a company's knowledge can be found in text repositories, current content management systems have limited capabilities for structuring and interpreting documents. In the emerging Semantic Web, search, interpretation and aggregation can be addressed by ontology-based semantic markup. In this paper, we examine semantic annotation, identify a number of requirements, and review the current generation of semantic annotation systems. This analysis shows that, while there is still some way to go before semantic annotation tools will be able to address fully all the knowledge management needs, research in the area is active and making good progress.

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Type of Paper: Research Paper
Keywords: Semantic Annotation; Knowledge management; Automation
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