%0 Journal Article %1 Hollink2007Patterns %A Hollink, Laura %A Schreiber, Guus %A Wielinga, Bob %D 2007 %J Web Semantics: Science, Services and Agents on the World Wide Web %K m3o-paper phd thesis-annotation thesis-ontology thesis-semantic-multimedia %N 3 %P 195--203 %R DOI: 10.1016/j.websem.2007.05.002 %T Patterns of semantic relations to improve image content search %U http://www.sciencedirect.com/science/article/B758F-4NT84TK-2/2/fff21647f3de48afe52eaf3ad9400f9e %V 5 %X 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.

@article{Hollink2007Patterns, 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.}, added-at = {2009-08-11T09:40:46.000+0200}, author = {Hollink, Laura and Schreiber, Guus and Wielinga, Bob}, biburl = {https://www.bibsonomy.org/bibtex/2fc4f0131b5288df197ec06cc97949108/casi}, description = {ScienceDirect - Web Semantics: Science, Services and Agents on the World Wide Web : Patterns of semantic relations to improve image content search}, doi = {DOI: 10.1016/j.websem.2007.05.002}, interhash = {4cdaa35706f87038e973c97416174091}, intrahash = {fc4f0131b5288df197ec06cc97949108}, issn = {1570-8268}, journal = {Web Semantics: Science, Services and Agents on the World Wide Web}, keywords = {m3o-paper phd thesis-annotation thesis-ontology thesis-semantic-multimedia}, number = 3, pages = {195--203}, timestamp = {2010-01-13T15:18:51.000+0100}, title = {Patterns of semantic relations to improve image content search}, url = {http://www.sciencedirect.com/science/article/B758F-4NT84TK-2/2/fff21647f3de48afe52eaf3ad9400f9e}, volume = 5, year = 2007 }