AN EFFICIENT INFORMATION RETRIEVAL ONTOLOGY SYSTEM BASED INDEXING FOR CONTEXT

Abstract

Many of the research or development projects are constructed and vast type of artifacts are released such as article, patent, report of research, conference papers, journal papers, experimental data and so on.The searching of the particular context through the keywords from the repository is not an easy task because the earliest system the problem of huge recalls with low precision.This paper challenges to construct a search algorithm based on the ontology to retrieve the relevant contexts.Ontology's are great knowledge of retrieving the context.In this paper, we utilize the WordNet ontology to retrieve the relevant contexts from the document repository.It is very difficult to retrieve the relevant context in its original format since we use the pre-processing step, which helps to retrieve context.The pre-processing step includes two major steps first one is stop word removal and the second one is stemming process.The outcome of the pre-processing step is indexing consist of important keywords and their corresponding keywords.When the user enter the keyword to the system, the ontology makes the several steps to make the refine keywords.Finally, the refine keywords are matched with index and relevant contexts are retrieved.The experimentation process is carried out with the help of different set of contexts to achieve the results and the performance analysis of the proposed approach is estimated by the evaluation metrics like precision, recall and F-measure.