Learning Ontology Relations by Combining Corpus-Based Techniques and Reasoning on Data from Semantic Web Sources: 44 (Forschungsergebnisse der Wirtschaftsuniversitaet Wien) - Hardcover

Wohlgenannt, Gerhard

Hardcover

ISBN 10: 3631606516 ISBN 13: 9783631606513

Verlag: Peter Lang, 2011

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Reseña del editor:

The manual construction of formal domain conceptualizations (ontologies) is labor-intensive. Ontology learning, by contrast, provides (semi-)automatic ontology generation from input data such as domain text. This thesis proposes a novel approach for learning labels of non-taxonomic ontology relations. It combines corpus-based techniques with reasoning on Semantic Web data. Corpus-based methods apply vector space similarity of verbs co-occurring with labeled and unlabeled relations to calculate relation label suggestions from a set of candidates. A meta ontology in combination with Semantic Web sources such as DBpedia and OpenCyc allows reasoning to improve the suggested labels. An extensive formal evaluation demonstrates the superior accuracy of the presented hybrid approach.

Biografía del autor:

Gerhard Wohlgenannt is a senior researcher at the New Media Technology Department, MODUL University Vienna. He received his PhD from the Institute for Information Business at Vienna University of Economics and Business (WU). His research interests include ontology learning, text mining and the Semantic Web.

Über diese Auflage

• Verlag: Peter Lang
• Erscheinungsdatum: 2011
• ISBN 10: 3631606516
• ISBN 13: 9783631606513
• Einband: Tapa dura
• Anzahl der Seiten: 222