Applied Mathematics & Information Sciences
With the development of semantic web, more and more ontologies are developed for various purposes. In order to evaluate these ontologies, there have emerged numerous ontology analysis approaches. This paper introduces the classical field theory to ontology area, and puts forward a semantic field model to analyze ontology characteristics from the perspective of concept interaction and hierarchical clustering. In semantic field, the equipotential lines present a natural nesting structure. The equipotential lines’ distribution corresponds with the semantics’ distribution resulting from the interaction and association of ontology concepts. Based on equipotential line distribution, we can analyze concept hierarchical clustering characteristics. Experiments showed that the semantic field does well in ontology concept hierarchical clustering analysis. The semantic field model has good scalability, and clustering execution time follows an approximate linear relationship with concept scale.
Digital Object Identifier (DOI)
Wang, Zhixiao; Xia, Shixiong; and Niu, Qiang
"A Novel Ontology Analysis Tool,"
Applied Mathematics & Information Sciences: Vol. 08:
1, Article 31.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol08/iss1/31