An analysis of semantic heterogeneity issues and their countermeasures prevailing in semantic web

Nowadays, wisdom information retrieval system is available on the web, which enables a new generation of intelligent web that utilizes this semantic information as source of knowledge. The vision of semantic web crafts an environment where the information available on the web can be semantically interpreted. However, with abundance of information on the web, it is complicated to interpret the information with their intended meaning. Achieving this by interoperability among different information systems is very laborious, tedious and error-prone task which results out of semantic heterogeneity. Semantic web suggested solution of retrieval of specific information through the use of ontology matching technique and intelligent agent technology. In this paper we have proposed a knowledge-based grid for retrieving valuable information according to users necessitates. This paper also conducts a review of research in the area of intelligent communities and identifies the major theoretical and practical issues which need to be addressed.