OS_RANK: Structure analysis for ontology ranking

Wei Yu, Qing Li, Junpeng Chen, Jiaheng Cao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

5 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationWorkshops in Conjunction with the International Conference on Data Engineering - ICDE' 07
Pages339-346
Number of pages8
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes
EventWorkshops in Conjunction with the 23rd International Conference on Data Engineering - ICDE 2007 - Istanbul, Turkey
Duration: 15 Apr 200720 Apr 2007

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Conference

ConferenceWorkshops in Conjunction with the 23rd International Conference on Data Engineering - ICDE 2007
CountryTurkey
CityIstanbul
Period15/04/0720/04/07

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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