DocumentCode
2448429
Title
A Proposal for Stable Semantic Metrics Based on Evolving Ontologies
Author
Ma, Yinglong ; Ma, Xinyv ; Liu, Shaohua ; Jin, Beihong
Author_Institution
Sch. of Comput. Sci. & Technol., North China Electr. Power Univ., Beijing, China
fYear
2009
fDate
25-26 April 2009
Firstpage
136
Lastpage
139
Abstract
In this paper, we propose a set of semantic cohesion metrics for ontology measurement, which can be used to assess the quality of evolving ontologies in the context of dynamic and changing Web. We argue that these metrics are stable and can be used to measure ontology semantics rather than ontology structures. Measuring ontology quality with semantic inconsistencies caused by ontology evolutions, is mainly considered in this paper. The proposed semantic cohesion metrics are theoretically and empirically validated.
Keywords
Internet; ontologies (artificial intelligence); World Wide Web; evolving ontologies; ontology measurement; semantic cohesion metrics; stable semantic metrics; Artificial intelligence; Computer science; Electric variables measurement; Ontologies; Open wireless architecture; Power measurement; Proposals; Prototypes; Software measurement; Software quality; Ontology; Ontology Quality; Ontology inconsisteicies; Ontology metrics;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location
Hainan Island
Print_ISBN
978-0-7695-3615-6
Type
conf
DOI
10.1109/JCAI.2009.42
Filename
5158958
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