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Topic Map: An Ontology Framework for Information Retrieval

Paper, was published by Rajkumar Kannan at 2010-03-08

This paper explores how topic map incorporates the traditional techniques.

External Link: download 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.

 

Topic Maps is a quick and easy way to implement knowledge management into solutions, the ISO standard has proven itself time-and-time again in business, organizations and government.

Inge
Inge Henriksen
TM++
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
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