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SesameTM: Building Topic Maps on RDF

Paper, veröffentlicht von Arnim Bleier, Lutz Maicher und Benjamin Bock am 11.09.2010

This paper intrduces the Topic Maps engine SesameTM which acts as configurable wrapper for the RDF framework Sesame.

Externer Link: download slides

Over the past decade RDF has developed to become the dominant standard for representation and interchange of structured data on the web. In portal development, widely unrecognized by Semantic Web research, subject-centric topic maps are actively used and have evolved from an ancient SGML and intermittent XML-based standard to a pure data model. This data model can be represented as a graph and served various integration strategies, put forward over the past years, as a starting point. However, none of these strategies really appreciates the way in which the technologies are used resulting in a poor tool interoperability. To overcome this state we propose a Topic Maps engine acting
as configurable wrapper for Sesame. The software library we develop and describe in this paper implements the Topic Maps Application Programming Interface (TMAPI) enabling the usage of Topic Maps infrastructure instead of working at the level of RDF triples.

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SesameTM

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SesameTM is a Topic Maps engine which uses a triple store as backend. It is a full featured implementation of the "TMAPI ...

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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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