A Hybridization Approach based Semantic Approach to the Software Engineering
Abstract
It is a major issue to measure semantic accuracy for determining the similarity between words, for developing a web and retrieving information thereby using natural language processing or mining of the text. There have been several proposals and adoption of methods for measuring the similarity by using WordNet and MeSH ontology. A new approach based on hybridization is proposed in this work. Feature based methodology and fuzzy set theory has been used here.