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
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;
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
DOI :
10.1109/WIIAT.2008.256