DocumentCode :
2642663
Title :
Metrics for ontologies
Author :
Cross, Valerie ; Pal, Anindita
Author_Institution :
Dept. of Comput. Sci. & Syst. Anal., Miami Univ., Oxford, OH, USA
fYear :
2005
fDate :
26-28 June 2005
Firstpage :
448
Lastpage :
453
Abstract :
The success of the semantic Web has been linked with the use of ontologies on the semantic Web. Given the important role of ontologies on the semantic Web, the need for domain ontology development and management are increasingly more and more important to most kinds of knowledge-driven applications. More and more these ontologies are being used for information exchange. Information exchange technology should foster knowledge exchange by providing tools to automatically assess the characteristics and quality of an ontology. The scarcity of theoretically and empirically validated measures for ontologies has motivated our investigation. From this investigation a suite of quality metrics have been developed and implemented as a plug-in to the ontology editor Protege so that any ontology specified in a standard Web ontology language such as RDFS or OWL may have a quality assessment analysis performed.
Keywords :
knowledge based systems; ontologies (artificial intelligence); semantic Web; software metrics; OWL; RDFS; Web ontology language; domain ontology development; information exchange; knowledge-driven application; ontology editor Protege; quality assessment analysis; quality metrics; semantic Web; Costs; Humans; Knowledge management; OWL; Ontologies; Process design; Semantic Web; Standards development; Taxonomy; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
Print_ISBN :
0-7803-9187-X
Type :
conf
DOI :
10.1109/NAFIPS.2005.1548577
Filename :
1548577
Link To Document :
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