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Topic Map Objects

Paper, was published by Kal Ahmed, Graham Moore, and Andrew Brodie at 2007-09-04

This paper presents a framework that provides domain specific classes for accessing and updating topic map data structures.

External Link: download paper

This paper presents a framework that provides domain specific classes for accessing and updating topic map data structures in a distributed environment. While work on Topic Map Web Services (TMWS) have begun to provide developers with SOA type patterns for interacting with Topic Map data there is still a need for developers to be able to work with higher level views of the topic map data. TMAPI 6 has been the de-facto mechanism by which developers have accessed and updated topic map data. Topic Map Objects marries the advances in TMWS development with advances in modern language features of Java and C#. The result is a framework that allows developers to work with classes and objects that are relevant to the problem domain at hand. The expected contribution from this development is that developers can more easily use and work with topic maps with only a limited amount of knowledge about the full Topic Map Data Model (TMDM)7. In addition, developers will spend less time writing specific access code in order to construct domain specific applications.


Kal Ahmed

No contact information available. 


Kal is project leader of TM4J TopicMap Engine, TM4Web, and TMTab.

Andrew Brodie

No contact information available. 


Andrew is author of Topic Map Objects.

Presented at

TMRA 2006

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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Topic Maps is the only formal semantic model which is optimized for humans, not for computers. Applications and web portals based on Topic Maps are easy to use, without limitations for flexibility and creativity.

Benjamin Bock
Ruby Topic Maps
Topic Maps Lab auf der Cebit 2011

Graduate from the Topic Maps Lab