Novel Approach to Knowledge Extraction Using Conceptual Association

This paper describes the novel approach to Knowledge Extraction using conceptual association. Web has a huge collection of unstructured information. In this paper we have discovered structured knowledge from unstructured information available on the web browser and examine relationship between different concepts using web. Our concept is OCEAN WATER DESALINATION(OWD).OceanWater Desalination is the process of creating fresh water by removing saline(salt) from large ocean bodies with saline water. We have taken the view of four countries of the world namely INDIA(a country in continent ASIA), AUSTRALIA (a country in continent AUSTRALIA),U.S.A(a country in continent NORTH AMERICA) and AUSTRIA (a country in continent EUROPE) and studied the techniques presently used and proposed for OWD .Based on our study, we have classified techniques into two generations namely first and second generation and then we have attempted to extract the knowledge taking the help of Rough set theory and Fuzzy logic. Using overlap coefficient method to find Co-occurrence number, fuzzy membership function we have defined the concept strength in terms of nodes and arcs in visibility graph. Finally, fuzzy associative matrix depicts how various elements have worked together to yield some useful