Concept disambiguation exploiting semantic databases

Authors:
Alp Gökhan Hoşsucu;Halil Ayyildiz;Ziya Özkan Göktürk
Affiliations:
Anelarge R&D Corporation, Hacettepe Teknokent, Arge Binasi Beytepe, Ankara, Turkey;Anelarge R&D Corporation, Hacettepe Teknokent, Arge Binasi Beytepe, Ankara, Turkey;Anelarge R&D Corporation, Hacettepe Teknokent, Arge Binasi Beytepe, Ankara, Turkey
Venue:
Proceedings of the International Workshop on Semantic Web Information Management
Year:
2011

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Abstract

This paper presents a novel approach for resolving ambiguities in concepts that already reside in semantic databases such as Freebase and DBpedia. Different from standard dictionaries and lexical databases, semantic databases provide a rich hierarchy of semantic relations in ontological structures. Our disambiguation approach decides on the implied sense by computing concept similarity measures as a function of semantic relations defined in ontological graph representation of concepts. Our similarity measures also utilize Wikipedia descriptions of concepts. We performed a preliminary experimental evaluation, measuring disambiguation success rate and its correlation with input text content. The results show that our method outperforms well-known disambiguation methods.