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http://www.topicmapslab.de/documents/tmlab_at_Ontopia_Consolidating_Meeting

Topic Maps Lab at the Ontopia Consolidation Meeting

Published by Arnim Bleier on 2009-05-30 and updated at 2009-06-10.

Abstract:

Arnim Bleier from the Topic Maps Lab participated in the Ontopia Consolidation Meeting meeting in Oslo

The Ontopia Knowledge Suite is one of the most widely used Topic Map Engines in industry. Bouvet has acquired Ontopia 2007, two years later Ontopia goes open source.
On Thursday the 28th Bouvet hosted a Consolidation Meeting to ensure that the project policies are in line with the interests of customers, partners, and contributors.
The Topic Maps Lab has sent Arnim Bleier to this meeting.

Covered issues included such as:

Appropriate and trustworthy licensing
Future project administration
Project web sides and tools for Users as well as Developers
Funding to secure the project independence

With participants from Asia, Europe and America as well as media coverage, from the Norwegian Computerworld and TU.NO, the meeting can be seen as a further successful step towards the broad availability of Topic Maps Tools.

“photo: Lars Marius Garshol”

Authors of this document are

Arnim Bleier

http://delicious.com/Arnim_Bleier

Arnim is project leader of SesameTM. He is involved in Ruby Topic Maps and Maiana.

Subject Matter

Ontopia

is a Topic Maps Framework.

Ontopia is a complete set of open source tools for building, maintaining, and deploying Topic Maps-based applications.

Visit homepage of Ontopia

glossary

Topic Maps Engine

is associated with 20 items.

A Topic Maps engine is a system based on the Topic Map ISO standard exposing a TMAPI compatible interface for running Topic Map applications.

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.