Document retrieval using semantic approach / Mohamad Afif Ismail

As large amounts of digital information become more and more accessible, the ability to effectively find relevant information is increasingly important. Search engines have historically performed well at finding relevant information by relying primarily on lexical and word based measures. However, quite often these processes take place without respect to semantics, or word meanings. This is perhaps due to the fact that the idea of meaningful similarity is naturally qualitative, and thus difficult to integrate into quantitative processes. This project formally present a method for retrieving documents using semantic relations from WordNet database, which is designed to return document that have concept similarity with the user's query. This project show how semantic approach can be applied to document retrieval. Evaluation of the prototype being done used recall and precision method. The results conclude that while semantic is not well suited for precision of retrieval, the use of semantic approach can improve the number of document retrieved (recall).