Comparative Analysis of Various Approaches for Semantic Information Retrieval

Authors:

Poonam Chahal (YMCA University of Science &Technology, Faridabad)

Manjeet Singh (YMCA University of Science &Technology, Faridabad)

Suresh Kumar (Manav Rachna International University, Faridabad)

Keywords: Semantic Web, Ranking, Parsing, Syntactic, Lexical, Semantic, Similarity.

Abstract:

Semantic similarity between words/sentences/documents has been studied extensively in recent years due to exponentially increase in World Wide Web. It has become necessary to minimize the problem of information retrieval faced by the users of internet to understand the semantic form of information that is presented on web. But, the present retrieval systems consider only the syntactic structure of the information so the methods or approaches which can help us to understand the semantics of the Information presented in any form is gaining importance. Researchers have considered semantic form of contents and proposed or implemented different ways of finding the relevant information from the web as per the user’s expectation. In this paper we have tried to discuss the approaches given by different researchers in the area of semantic similarity between the words/sentences/ documents present in WWW and then tried to conclude their salient features and limitations.

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