DocumentCode
3466290
Title
Ontology Evaluation and Ranking using OntoQA
Author
Tartir, Samir ; Arpinar, I. Budak
Author_Institution
Univ. of Georgia, Athens
fYear
2007
fDate
17-19 Sept. 2007
Firstpage
185
Lastpage
192
Abstract
Ontologies form the cornerstone of the Semantic Web and are intended to help researchers to analyze and share knowledge, and as more ontologies are being introduced, it is difficult for users to find good ontologies related to their work. Therefore, tools for evaluating and ranking the ontologies are needed. In this paper, we present OntoQA, a tool that evaluates ontologies related to a certain set of terms and then ranks them according a set of metrics that captures different aspects of ontologies. Since there are no global criteria defining how a good ontology should be, OntoQA allows users to tune the ranking towards certain features of ontologies to suit the need of their applications. We also show the effectiveness of OntoQA in ranking ontologies by comparing its results to the ranking of other comparable approaches as well as expert users.
Keywords
ontologies (artificial intelligence); semantic Web; OntoQA; ontology evaluation; ontology ranking; semantic Web; Bioinformatics; Biology computing; Computer science; Distributed computing; Distributed information systems; Humans; Information analysis; Large-scale systems; Ontologies; Semantic Web;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantic Computing, 2007. ICSC 2007. International Conference on
Conference_Location
Irvine, CA
Print_ISBN
978-0-7695-2997-4
Type
conf
DOI
10.1109/ICSC.2007.19
Filename
4338348
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