Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.websem.2007.05.002 | J. Web Sem. |
Keywords | Field | DocType |
jeopardising precision,image retrieval,wordnet,paper report,semantic annotation,relation pattern,overall objective,query expansion,image content query,hypernym relation,art resource,image content search,semantic relation | Semantic similarity,Semantic technology,Semantic Web Stack,Information retrieval,Semantic search,Query expansion,Computer science,Natural language processing,Semantic grid,Artificial intelligence,Concept search,Semantic computing | Journal |
Volume | Issue | ISSN |
5 | 3 | Web Semantics: Science, Services and Agents on the World Wide Web |
Citations | PageRank | References |
24 | 1.59 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Laura Hollink | 1 | 832 | 52.85 |
| Guus Schreiber | 2 | 1448 | 150.58 |
| Bob Wielinga | 3 | 617 | 52.73 |