Word sense disambiguation for free-text indexing using a massive semantic network
CIKM '93 Proceedings of the second international conference on Information and knowledge management
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
A hybrid approach for searching in the semantic web
Proceedings of the 13th international conference on World Wide Web
Web-Based Measure of Semantic Relatedness
WISE '08 Proceedings of the 9th international conference on Web Information Systems Engineering
A Survey of Semantic Similarity Methods for Ontology Based Information Retrieval
ICMLC '10 Proceedings of the 2010 Second International Conference on Machine Learning and Computing
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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.