Topic Map: An Ontology Framework for Information Retrieval

Computer Science – Digital Libraries

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

National Conference on Advances in Knowledge Management(NCAKM'10), pp195-198, March 2010, India

Scientific paper

The basic classification techniques for organizing information are thesauri, taxonomy and faceted classification. Topic map is relatively a new entrant to this information space. Topic map standard describes how complex relationships between abstract concepts and real world resources can be represented using XML syntax. This paper explores how topic map incorporates the traditional techniques and what are its advantages and disadvantages in several dimensions such as content management, indexing, knowledge representation, constraint specification and query languages in the context of information retrieval. The constructs of topic maps are illustrated with a use-case implemented in XTM

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Topic Map: An Ontology Framework for Information Retrieval does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Topic Map: An Ontology Framework for Information Retrieval, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Topic Map: An Ontology Framework for Information Retrieval will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-700295

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.