Automating reuse of online semantic resources by concept extraction using word sense disambiguation

Abstract

Several dimensions have been added since the idea of Semantic web was conceived by Tim B. Lee, to the previously linear representation of the World Wide Web that consisted of web resources like web pages and hyperlinks. These dimensions allow for software agents/machines to make knowledgeable decisions and retrieve relevant resources which are related in meaning and not only by named links. The new infrastructure consists of semantic repositories like network of ontologies, also called semantic networks.Some interesting research issues have emerged in the context of these semantic repositories and these are their creation, bootstrapping and interoperability to make semantic web a reality. A novel approach is proposed to deal with the issue of creation of ontologies from existing online semantic repositories by using Swoogle API. The aim is to discover concepts from online resources indexed by the Swoogle Search Engine by using advanced techniques of Word Sense Disambiguation in Computational Linguistics Techniques.