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Ontology mining in Molecular Biology domain (Lac Operon problem)

机译:分子生物学领域的本体挖掘(Lac Operon问题)

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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.
机译:多年来,语义网和数据挖掘领域的研究已经取得了巨大的进步,以至于今天它们在生物医学,个性化电子学习,生物信息学等领域的应用非常广泛。 Web挖掘和语义Web领域,以及这些领域中技术的混合用于简化特定领域中的复杂性。这里关注的领域是分子生物学(Lac Operon机制)。进行本体挖掘是为了通过包含DNA和RNA成分在功能上临时化流行的本体,并且在结构上通过以不同的视角扩展本体来进行构建。进行这些功能和结构修改的分析是为了克服该本体中的当前缺点。

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