Patterns of semantic relations to improve image content search

Authors:
Laura Hollink;Guus Schreiber;Bob Wielinga
Affiliations:
Section Business Informatics, Free University Amsterdam, De Boelelaan 1081a, 1081 HV Amsterdam, The Netherlands;Section Business Informatics, Free University Amsterdam, De Boelelaan 1081a, 1081 HV Amsterdam, The Netherlands;Human Computer Studies Laboratory, University of Amsterdam, Kruislaan 419, 1098 VA Amsterdam, The Netherlands
Venue:
Web Semantics: Science, Services and Agents on the World Wide Web
Year:
2007

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Abstract

This paper reports on a study to explore how semantic relations can be used to expand a query for objects in an image. The study is part of a project with the overall objective to provide semantic annotation and search facilities for a virtual collection of art resources. In this study we used semantic relations from WordNet for 15 image content queries. The results show that, next to the hyponym/hypernym relation, the meronym/holonym (part-of) relation is particularly useful in query expansion. We identified a number of relation patterns that improve recall without jeopardising precision.