Page Ranking for Efficient Information Retrieval using Retrieval Algorithm

Abstract

Today’s  enormous  amount  of  digital  data  has  become  a
challenge of finding relevant set of information which satisfies
the user’s need.		Currently, a large set of results which is of
less relevant to user’s request is returned by an Information
Retrieval  System.  This  is  actually  waste  of  user’s  time  in
searching for required documents from the large resultant set
and also it leads to data overload problem. Therefore, the main
problem in Information Retrieval system today is re-ranking
the  search	result  for  more  relevancies.  In  this				paper,  A
Semantic based search engine with page ranking algorithm is
used to search data semantically using information retrieved
from the lexical database i.e. domain ontology and Word Net.
The Page Ranking Algorithm is used effectively to re-rank and
arrange the web pages which are more appropriate to the user’s
requirement.  The		Proposed  Algorithm		for  page  ranking  is
based on user’s attention time of semantic web pages.
Keywords:  Semantic  search,  Semantic  relevance,  Synset,
Term frequency, User profile.

Author

B.M.S. Javed Ahamed U. Fahima Rasvia

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