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Ontology Supported Automatic Generation of High-Quality Semantic Metadata

Yoldas, Ümit; Nagypal, Gabor

Abstract:

Large amounts of data in modern information systems, such as the World Wide Web, require innovative information retrieval techniques to effectively satisfy users' information need. A promising approach is to exploit document semantics in the IR process. For this purpose, high-quality semantic metadata is needed. This paper introduces a method to automatically create semantic metadata by using ontologically enhanced versions of common information extraction methods, such as
named entity recognition and coreference resolution. Furthermore, this work also proposes the application of ontology-specific heuristic rules to further improve the quality of generated metadata. The results of our method was evaluated using a small test collection.


Zugehörige Institution(en) am KIT Universität Karlsruhe (TH) – Einrichtungen in Verbindung mit der Universität (Einrichtungen in Verbindung mit der Universität)
FZI Forschungszentrum Informatik (FZI)
Publikationstyp Buchaufsatz
Publikationsjahr 2006
Sprache Englisch
Identifikator ISBN: 3-540-48287-3
KITopen-ID: 1000005442
Erschienen in On the Move to Meaningful Internet Systems 2006. Pt. 1. Hrsg.: R. Meersman
Verlag Springer-Verlag
Seiten 791-806
Serie Lecture Notes in Computer Science ; 4275
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
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