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On Path-Centric Navigation and Search Techniques for Personal Knowledge Stored in Topic Maps

Paper, was published by Jens Heider and Julian Schütte at 2008-08-15

This paper introduces a combined navigation and search interface for homogeneous knowledge representations.

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Leveraging interconnections across stored personal information is a novel concept to find desired information by context and structure. This paper introduces a combined navigation and search interface for homogeneous knowledge representations based on path and set calculation. It uses graph theory to provide a more intuitive way of supplying search criteria and retrieving related information.

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TMRA 2007

Conference in Leipzig from {{start}} to {{end}}

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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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