Ontology mining in Molecular Biology domain (Lac Operon problem)

Over the years, the research in the field of Semantic web and Data Mining has advanced so much, that today their applications are tremendous in the domains of BioMedical, personalized e-Learning, Bioinformatics etc. In this paper a thorough investigation is done in the areas of Web mining and Semantic web, and the mixture of the techniques in these areas are used to simplify the complications in a specific domain. The domain that is focused here is of Molecular Biology (Lac Operon mechanism). Ontology mining is done, inorder to improvise the prevailing ontology functionally by the inclusion of DNA and RNA components, and also structurally by expanding the ontology in a different perspective. The analysis of these functional and structural modifications is done to overcome the present shortcomings in this ontology.