Facilitating Efficient Integrated Semantic Web Search with Visualization and Data Mining Techniques

Abstract

In the recent years, Data mining has attracted a great deal of attention in the information industry to turn huge volumes of data into useful information and knowledge. In this research work, it has been proposed to build Semantic Web Architecture for effective Information Retrieval and to display the result in visual mode. Hence, the first motivation of this paper is towards clustering of documents. The second motivation is to invent a data structure called BOOKSHELF for community mining in the search engine, using which the storage and time efficiency can be enhanced. The third motivation is to construct a novel semantic search engine to give results in visual mode. This paper proposes a web search results in visualize web graphs, representations of web structure overlaid with information and pattern tiers by providing the viewer with a qualitative understanding of the information contents.