Southampton and The Open University. Preface(8)

1 shows the proposed design for the RDF crawler. The next section describes how this can be used in . Figure clustering documents according to similarity.

Fig. 1. RDF Crawler Design

Semantic Web Document clustering is an Open Research Topic and has not been experimented with until now, the advantage of this technique is that precision and recall rates of web searches can be significantly enhanced, thus reducing the problem of information overload. An enhanced version of the Suffix Tree Algorithm (Zamir and Etzioni) can be used to categorize documents according to their type. The high level structure hence produced when stored in the form of a tree it will have the advantages of faster fetch rates and a hierarchically ordered information structure. The information contained in such a high-level structure will be very precise and easy to retrieve.

2. Related Work

Staab (Staab et al, 2004)fragments of fragments of RDF from the Internet and builds a knowledge base from its data. A host of presents work on the Ontotext RDF crawler which downloads interconnected URIs to be retrieved as well as URI filtering conditions are maintained at every phase of RDF crawling. 1 /

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