Dynamic Clustering of Documents

Abstract

Due to increasing number of documents in the World Wide Web, which requires faster processing and efficient methods to handle them retrieval has become a major issue. Clustering process is used to retrieve the document and automatically group them into clusters. Here the issue is scalability. Therefore to handle the scalability problems documents are clustered dynamically when they add up, without the need to re-cluster the formulated clusters which are clustered by static document clustering. The proposed method will dynamically process the newly arrived document and assign it to the meaningful cluster without the need to disturb the formed clusters. In order to exploit semantic relation between terms within the document WordNet ontology is been used to add hypernyms.