Title: A NOVEL SEMANTIC SEARCH TECHNIQUE USING ONTOLOGY

Year of Publication: 2013
Page Numbers: 303-307
Authors: Mahnaz Khani, Mohammad Malakooti, Mehran Mohsenzadeh
Conference Name: The Third International Conference on Digital Information Processing and Communications (ICDIPC2013)
- United Arab Emirates

Abstract:


At this method using mutual information for selecting the size of Word document vectors for each category has been created according to the word of choice. Documents obtained by using matrix measure of similarity between documents are derived. Document similarity matrix of the inner product matrix document, the terms related to the size of the document is obtained. The degree of relevance of document types and document tests using vector inner product and the weighted average of those obtained from experiments. The accuracy our method is better than previous methods based on our simulations and evaluations. Also, when we use the ontology precision value is 1.