A Concept-based Ontology Mapping Method for Effective Retrieval of Bio-Medical Documents

Nowadays, document retrieval is one of the major tasks in Biomedical Research. Due to the size, a lot of time gets wasted for the user in searching the information they need while retrieving the documents, the problem that arises is the retrieval of non-related documents. In order to overcome this, a concept based ontology mapping method is proposed in this paper. Initially, a query document is given to the retrieval system for retrieving the matched documents based on the concepts in the document. A Stanford parser is used for making the document into sentences and then into Parts-of-speech tagger and Context-free phrase structure grammar representation. After that, the resultant noun phrases and verb phrases are considered as concepts and linking phrases and from these the concept maps are generated for each document. Then the concepts from the concept map of query document are matched with the concept maps of the target document collection using Word Net Ontology. If the measure for the matching is less than the threshold value means, the alternate documents are checked for the matching. Otherwise, the relevant documents for the matched query is retrieved based on the concept maps from the document storage. The experimentation was carried out with the help of medical documents. The proposed retrieval system shows that the documents are retrieved effectively based on concepts and the system performs with higher accuracy value.