Ontology based semantic similarly ranking of documents

Abstract

Semantic relatedness measures the degree to which some words or concepts are related, considering possible semantic relationships among them. Semantic relatedness is of great interest in different areas, such as Natural Language Processing, Information Retrieval, or the Semantic Web. This paper proposes policy based ranking of documents, where policy directs which path of the ontology tree is to be considered for semantic computation. An algorithm for ranking documents according to their relevance to a query is used. The given query is expanded based on the ontology concepts and the given polices. As the policy changes, the concept set used for the ranking algorithm varies. Depending on the requirements, using the same ontology, documents can be ranked differently based on the policies which in turn depend on the structure of the ontology. A ranking algorithm calculates the similarity degree of each document with respect to the user query.