Patterns of semantic relations to improve image content search

被引:17
作者
Hollink, Laura
Schreiber, Guus
Wielinga, Bob
机构
[1] Free Univ Amsterdam, Sect Business Informat, NL-1081 HV Amsterdam, Netherlands
[2] Univ Amsterdam, Human Comp Studies Lab, NL-1098 VA Amsterdam, Netherlands
来源
JOURNAL OF WEB SEMANTICS | 2007年 / 5卷 / 03期
关键词
semantic annotation; WordNet; query expansion; image retrieval;
D O I
10.1016/j.websem.2007.05.002
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:195 / 203
页数:9
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