Author : Poonam Chahal , Manjeet Singh , Suresh Kumar

Recently, many semantic web search engines have been developed like Ontolook, Swoogle, etc which help in searching meaningful documents presented on semantic web. In contrast to this the commonly used approach is based on matching keywords extracted from the document which is known as lexical matching. But there exist the documents that contains same information but using different words i.e. one document using a word and other document using synonym of that word. So, when similarity of such documents is computed through lexical matching it will not give true results of similarity computation. In this paper we have proposed a semantic web document similarity scheme that relies not only on the keywords but on conceptual instances present between the keywords and also considers the relationships that exists between the concepts present in the web pages. We explore all relevant relations between the keywords exploring the user’s intention and then calculate the fraction of these relations on each web page to determine their relevance and similarity with the other documents. We have found that this semantic similarity scheme gives better results than those by the prevailing methods.

Keywords: Semantic Web, Ontolook, Swoogle, Indexing, Semantic, Similarity.

Article published in International Journal of Current  Engineering  and Technology, Vol.3,No.5(Dec- 2013)