A web mining logical framework for heterogeneous biological ontology data

Authors:
Ioan Pop
Affiliations:
Department of Computer Science, Lucian Blaga University, Sibiu, Romania
Venue:
MCBC'08 Proceedings of the 9th WSEAS International Conference on Mathematics & Computers In Biology & Chemistry
Year:
2008

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Abstract

The web documents and the web adaptation for the needs of a biologist user is today's trend of web technologies. In this paper we present an logical model for the adaptive classification methods with robust, efficient and simple to use features of the documents which include biological ontologies. The logical model, named WMHBO, is a general framework for using web data mining tasks. This model perhaps the base in any ontology construction to biological commonsense knowledge base.