TY - JOUR
T1 - Patterns of semantic relations to improve image content search
AU - Hollink, L.
AU - Schreiber, A.T.
AU - Wielinga, B.J.
N1 - Hollink07a
PY - 2007
Y1 - 2007
N2 - 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. © 2006 Elsevier B.V. All rights reserved.
AB - 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. © 2006 Elsevier B.V. All rights reserved.
U2 - 10.1016/j.websem.2007.05.002
DO - 10.1016/j.websem.2007.05.002
M3 - Article
VL - 5
SP - 195
EP - 203
JO - Journal of Web Semantics
JF - Journal of Web Semantics
SN - 1570-8268
IS - 3
ER -
