Ontology Based Fuzzy Document Clustering Scheme for Distributed P2P Network

Text document clustering is the technique used to group up the document with the reference to the similarity. It is widely used in digital library environment. Ontology is playing an increasingly important role in knowledge management and the semantic web. Distributed data clustering means clustering is done in distributed site. Peer-to-peer (P2P) system provides shared access to resources that are spread over the network. To address the problem of modularity, flexibility, and scalability in distributed peer-to-peer, a hierarchically distributed peerto- peer (HP2PC) architecture clustering algorithm is used. By analyzing all types of techniques for distributed document cluster, Semantic P2P is determined to be better. In this paper semantic analysis mechanism is enhanced with fuzzy document clustering scheme in p2p distributed network, which has a capability of providing better clustering result than Semantic distributed p2p clustering. Our experiments are conducted on 3 datasets: 20-Newsgroup, Reuter’s-21578 and IEEE abstract with key index. The evaluation result indicates the better clustering result by using the fuzzy concept with semantic distributed p2p proposed techniques