An Enhanced Indexing And Ranking Technique On The Semantic Web

Details An Enhanced Indexing And Ranking Technique On The Semantic Web An Enhanced Indexing And Ranking Technique On The Semantic Web

2011-11-29

arxiv.org/abs/1111.6713v1

IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 5, No 3, 2011, 118-125

Computer Science

Artificial Intelligence

8 pages, 7 figures

Scientific paper

With the fast growth of the Internet, more and more information is available on the Web. The Semantic Web has many features which cannot be handled by using the traditional search engines. It extracts metadata for each discovered Web documents in RDF or OWL formats, and computes relations between documents. We proposed a hybrid indexing and ranking technique for the Semantic Web which finds relevant documents and computes the similarity among a set of documents. First, it returns with the most related document from the repository of Semantic Web Documents (SWDs) by using a modified version of the ObjectRank technique. Then, it creates a sub-graph for the most related SWDs. Finally, It returns the hubs and authorities of these document by using the HITS algorithm. Our technique increases the quality of the results and decreases the execution time of processing the user's query.

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