DocumentCode
480770
Title
Evaluating Ontology Modules Using an Entropy Inspired Metric
Author
Doran, Paul ; Tamma, Valentina ; Palmisano, Ignazio ; Payne, Terry R. ; Iannone, Luigi
Author_Institution
Univ. of Liverpool, Liverpool
Volume
1
fYear
2008
fDate
9-12 Dec. 2008
Firstpage
918
Lastpage
922
Abstract
In this paper we therefore propose a reformulation of the entropy metric to evaluate the amount of information carried by both the ontology structure, and also by the language elements (i.e. the semantics associated with the edges in the ontological graph). To evaluate this approach, the reformulated metric is empirically compared to Calemt & Daemi´s original entropy metric, for a variety of different sized modules. The results suggest that not only can entropy differentiate between structurally different modules of the same size, but that our improved entropy metric provides a finer grain differentiation than the original entropy metric.
Keywords
entropy; ontologies (artificial intelligence); entropy inspired metric; ontology engineers; ontology modularization; ontology module extraction techniques; ontology reuse; Convergence; Entropy; Information theory; Intelligent agent; Knowledge engineering; OWL; Ontologies; Publishing; Semantic Web; Size measurement; Ontology modularization; entropy;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence and Intelligent Agent Technology, 2008. WI-IAT '08. IEEE/WIC/ACM International Conference on
Conference_Location
Sydney, NSW
Print_ISBN
978-0-7695-3496-1
Type
conf
DOI
10.1109/WIIAT.2008.256
Filename
4740576
Link To Document