OS_RANK : Structure analysis for ontology ranking

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review

5 Scopus Citations
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Author(s)

  • Wei Yu
  • Qing Li
  • Junpeng Chen
  • Jiaheng Cao

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - International Conference on Data Engineering
Pages339-346
Publication statusPublished - 2007

Publication series

Name
ISSN (Print)1084-4627

Conference

TitleWorkshops in Conjunction with the 23rd International Conference on Data Engineering - ICDE 2007
PlaceTürkiye
CityIstanbul
Period15 - 20 April 2007

Abstract

Ontologies have been shown to be beneficial for representing domain knowledge, and are quickly becoming the backbone of the Semantic Web. The need for ontology ranking techniques is crucial as the ontology reuse becomes increasingly important. In this paper, a new approach has been proposed for ranking ontologies on the Semantic Web. In particular, query terms provided by users are regarded as containing special information about domain knowledge of interest. Each ontology candidates are analyzed separately and ranked with respect to the structure and semantics. Experiments are performed and the results show that our method is cost-effective. © 2007 IEEE.

Citation Format(s)

OS_RANK: Structure analysis for ontology ranking. / Yu, Wei; Li, Qing; Chen, Junpeng et al.
Proceedings - International Conference on Data Engineering. 2007. p. 339-346 4401014.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with host publication)peer-review