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New Algorithm for Building Ontology from Existing Rules: A Case Study

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2 Author(s)
Kharbat, F. ; Dept. of Comput. Sci., Zarqa Private Univ., Zarqa ; Ghalayini, H.

From the fact that ontologies can help in making sense of huge amount of content, this paper proposes a case study for building ontology via set of rules generated by rule-based learning system. The proposed algorithm utilises the extracted and representative rules generated from the original dataset in developing ontology elements. The proposed algorithm is applied to a well known dataset in the breast cancer domain. The results are encouraging and support the potential role that this approach can play in providing a suitable starting point for ontology development.

Published in:

Information Management and Engineering, 2009. ICIME '09. International Conference on

Date of Conference:

3-5 April 2009

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