Mining Bio Medical Literature Using Ontology Based Text Mining
Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Significant developments in the area of biomedical text mining during the past years have demonstrated its great promise for supporting scientists and medical practitioners in developing new knowledge from the biomedical literature. Identifying and classifying relevant medical information in short texts and finding the semantic relations among these information is a challenging task of mining Bio Medical Literature. This can be achieved by extracting information from published literatures. In order to share the vast amounts of biomedical knowledge effectively, textual evidence needs to be linked to ontologies as the main repositories of formally represented knowledge. Ontologies are conceptual models that aim to support consistent and unambiguous knowledge sharing and that provide a framework for knowledge integration.