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MaJorToM server v. 1.0.0 released

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The MaJorToM server is a Spring application which provides a TMQL HTTP interface to query topic maps. The server is intended as back end for Topic Maps based applications.

Today the Topic Maps Lab has released the version 1.0.0 of the MaJorToM server. The server acts as TMQL endpoint for Topic Maps based applications. You can play around with an instance of the server here.

The sources of the MaJorToM server are available at Google code. In the installation instructions you will learn how you can build and deploy your own instances of the MaJorToM server. Once you have deployed the server for your own, you will have an administration interface and a TMQL interface. But the server is not only a TMQL endpoint for the data. It also provides full text search (based on Beru) and a SPARQL enpoint to the hosted topic maps.

With the next release Maiana will act as a frontend for topic maps delivered by remote MaJorToM server. Besides the Maiana integration the MaJorToM server is very well integrated with TM2O – the OData provider for Topic Maps.

Subject Matter

MaJorToM Server

is a {{project}}.


Majortom Server is a Spring application which provides a TMQL HTTP interface to query topic maps. The server allows you to easily distribute topic ...

Visit homepage of MaJorToM Server


is a {{project}}.


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 ...

Visit homepage of MaJorToM

Beru - Semantic Search for Topic Maps

is a {{project}}.


Traditional full text search engines are unable to cover the whole range of information that can be represented within Topic Maps. Beru fills this ...


is a {{project}}.


Nikunau is a Sesame Sail implementation to enable a RDF view on the ISO/IEC 13250 Topic Maps standard. It supports TMAPI 2.0 compatible engines as ...

Visit homepage of Nikunau


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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