Effective distributed document clustering employing ontology

Abstract

The availability of large quantity of text documents from the world wide web and business document management systems has made the dynamic separation of texts into new categories as a very important task for every business intelligence system Text document clustering is one of the emerging and most needed clustering techniques used to cluster documents with regard to similarity among documents It is used widely in digital library management system in the modern context Likewise document clustering is widely applicable in areas such as search engines web mining information retrieval and topological analysis The increase in the number of documents worldwide leads to the newlinedifficulty of classifying those documents according to the needs Clustering analysis is one of the main research areas of artificial intelligence and data mining Its fundamental task is to utilize characters to compute the degree of related relationship between objects and to accomplish automatic classification without any prior knowledge Document clustering utilizes clustering technique to gather the documents of high resemblance collectively by computing the documents resemblance newline newline