期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2014
卷号：5
期号：3
页码：133-138
语种：English
出版社：Ayushmaan Technologies
摘要：Retrieval of relevant documents using a set of keywords from a repository for a given context is a challenging task. In this paper, we propose an approach for extending keywords using neighbourhood analysis and architecture for context based document retrieval system. We use the WordNet ontology to identify semantic relationships among various keywords and retrieve the relevant documents from the document repository. We first preproces the documents, which includes two major steps: (i) stop word removal and (ii) stemming process. The outcome of preprocessing provides an indexing for important keywords and their extended set. When a user enters a keyword for document retrival, we present a mechanisim to refine and extend the set of keywords using the ontology. Finally, the extended keywords are matched with index and relevant documents are retrieved. We also present the experimental results and the performance analysis to show the viability of our approach.
