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
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;
Conference_Titel :
Artificial Intelligence, 2009. JCAI '09. International Joint Conference on
Conference_Location :
Hainan Island
Print_ISBN :
978-0-7695-3615-6
DOI :
10.1109/JCAI.2009.42