Semantic Term Based Information Retrieval Using Ontology

Information Searching and retrieval is a challenging task in the traditional keyword based textual information retrieval system. In the growing information age, adding huge data every day the searching problem also augmented. Keyword based retrieval system returns bulk of junk document irrelevant to query. To address the limitations, this paper proposed query terms along with semantic terms for information retrieval using multiple ontology reference. User query sometimes reflects multiple domain of interest that persist us to collect semantically related ontologies. If no related ontology exists then WordNet ontology used to retrieve semantic terms related to query term. In this approach, classes on the ontology derived as semantic related text keywords, these keywords considered for rank the documents.