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Convergence of Classical Search and Semantic Technologies – Evidences from a Practical Case in the Chemical Industry

Paper, was published by Stefan Smolnik at 2008-08-15

This paper compares the potential value of central approaches, technological requirements, and applications in knowledge management.

External Links: download paper and ACM record

With their expanding information assets and the growing importance of the knowledge factor, organizations are increasingly challenged to efficiently support knowledge management processes with appropriate structuring and retrieval technologies. Besides traditional information retrieval approaches, the use of semantic technologies like Topic Maps is also becoming more important. This paper compares the potential value of all these approaches, technological requirements, and applications. Thereafter, appropriate recommendations are derived for the most suitable choice of technology. In addition, early experiences from a practical case in the chemical industry provide further insights into the applicability of these recommendations in practice.

Presented at

TMRA 2007

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


TMRA – the international conference series on Topic Maps Research and Applications – is a scientific and industrial forum whose main object is …

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The first priority of H-maps is the simplicity of usage. Hereby issues of technology and science can be dealt effectively – while ensuring consistent compliance with the Topic Maps standards.

Steffen Hüttner
Topic Maps Lab auf der Cebit 2011

Graduate from the Topic Maps Lab