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
Link To Document :
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