MUTUAL INFORMATION-AIDED SEMANTIC APPROACH FOR MEDICAL ONTOLOGY CONSTRUCTION

The extraction of information from the web is dramatically important due to the immense growth of the World Wide Web. So, there is a need of techniques to extract the information from the web in a semantic way. Recent research works are concentrated on extracting the information directly from the web. But, this type of information extraction is not much as effective so there is a need of semantic extraction using ontology. In this paper, a model is developed for ontology construction which is then used for web information gathering. Here, web documents are extracted from the web and then, the concept from the web documents are identified. The concepts identified from the previous step are then used to build the taxonomy that is then utilized for the ontology construction. The model is implemented and the ontology is constructed using 100 documents relevant to medical field and the results are visualized.

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