Computer Science – Digital Libraries
Scientific paper
2010-03-18
Computer Science
Digital Libraries
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
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.
Profile ID: LFWR-SCP-O-700295