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  • http://www.topicmapslab.de/projects/majortom


Project category: Topic Maps Engine
Project status: Productive


MaJorToM is more than just a Topic Maps engine, it’s a kind of philosophy of designing an independent Topic Maps engine. The MaJorToM API extends the Topic Maps API 2.0 to provide a simple way for accessing the advanced features of next generation engines. Because of its downward compatibility, the engine can be used as drop-in replacement for any other Topic Maps engine, based on the TMAPI without any modifications. The architecture of MaJorToM is designed for satisfying the goals of simplicity and flexibility and splits the information and application domain from each other. The application uses only a set of object stubs to communicate with the underlying store. The objects do not contain any knowledge about the subjects they represent. The knowledge is encapsulated by the underlying store, which offers a set of abstract methods to access its information. The store can use different data models like Topic Maps, relational databases etc.

UPDATE 2011-04-15: Version 1.2.0 released


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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.

Alexander Sigel
Topic Maps Lab auf der Cebit 2011

Graduate from the Topic Maps Lab