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.
Description
ScienceDirect - Web Semantics: Science, Services and Agents on the World Wide Web : Patterns of semantic relations to improve image content search
%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 image patterns semantic semanticmultimedia
%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 = {2010-06-06T13:50:55.000+0200},
author = {Hollink, Laura and Schreiber, Guus and Wielinga, Bob},
biburl = {https://www.bibsonomy.org/bibtex/2fc4f0131b5288df197ec06cc97949108/datentaste},
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 = {image patterns semantic semanticmultimedia},
number = 3,
pages = {195--203},
timestamp = {2010-06-06T13:50:55.000+0200},
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
}