Information content-based ranking of ontologies
by V. RaviSankar; A. Damodaram; P. Radha Krishna
International Journal of Metadata, Semantics and Ontologies (IJMSO), Vol. 10, No. 3, 2015

Abstract: Ontologies form the backbone of the Semantic Web. Owing to multidisciplinary applications, a large number of ontologies are cropping up in each domain. Choosing the best ontology according to the user's requirements becomes a challenging task. Most of the existing approaches on ranking ontologies are either based on the internal structure of the ontologies or by analysing the Semantic Web link structures. However, these approaches have not exploited the inherent features of OWL which is used extensively in constructing ontologies. In this paper, a novel ontology ranking approach is proposed by considering two factors: (1) the OWL characterising features and (2) the nearness of the ontology to a certain concept. We define information content weight and develop a methodology for ranking ontologies. We demonstrate the viability of the proposed methodology through experimental results on the 'drug' concept.

Online publication date: Sun, 27-Dec-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Metadata, Semantics and Ontologies (IJMSO):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com