A semiotic metrics suite for assessing the quality of ontologies

被引:174
作者
Burton-Jones, A
Storey, VC
Sugumaran, V
Ahluwalia, P
机构
[1] Georgia State Univ, J Mack Robinson Coll Business, Atlanta, GA 30302 USA
[2] Oakland Univ, Sch Business Adm, Dept Decis & Informat Sci, Rochester, MI 48309 USA
关键词
ontology; quality metric; semiotic theory; ontology auditor;
D O I
10.1016/j.datak.2004.11.010
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A suite of metrics is proposed to assess the quality of an ontology. Drawing upon semiotic theory, the metrics assess the syntactic, semantic, pragmatic, and social aspects of ontology quality. We operationalize the metrics and implement them in a prototype tool called the Ontology Auditor. An initial validation of the Ontology Auditor on the DARPA Agent Markup Language (DAML) library of domain ontologies indicates that the metrics are feasible and highlights the wide variation in quality among ontologies in the library. The contribution of the research is to provide a theory-based framework that developers can use to develop high quality ontologies and that applications can use to choose appropriate ontologies for a given task. (c) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码:84 / 102
页数:19
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