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Topic Map Visualization

Book Chapter, was published by Bénédicte Le Grand at 2002-07-01

This chapter discusses topic map visualization requirements and visualization possibilities.

Topic maps provide a bridge between the domains of knowledge represenation and information management. Topics ans associations build a networked information overlay above information resources that allows users to navigate at a higher level of abstraction. However, this information overlay may contain millions of topics and associations, and users may still have problems finding relevant information. Therefore, the issue of topic map visualization and navigation is essential.

In this chapter we first discuss topic map visualization requirements. Then we explore existing visualization techniques and study whether (and how) they can be applied to topic map representation.

References:

Bénédicte Le Grand: Topic Map Visualization. In: Park, J. and Hunting, S.: XML Topic Maps: Creating and Using Topic Maps for the Web. Boston, Addison Wesley, 2002. pp. 267-282

 

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As a former information scientist, I am fascinated since 1999 by the capabilities for building Topic Maps-based knowledge systems having the potential to augment human mind. One can model arbitrary knowledge organization systems, deal with semantic heterogeneity, collocate all facts about one subject in one logical place, and with TMQL have semantic retrieval on federated semantic networks. Therefore I expect bright prospects for business concepts building on the exchange of such knowledge snippets via semantic knowledge services.

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Alexander Sigel
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Topic Maps Lab auf der Cebit 2011
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