home > library > publications > h-maps: an efficient approach for graphical visualization ...

close subject identifiers for H-Maps: An Efficient Approach for Graphical Visualization and ...
  • http://www.topicmapslab.de/publications/TMRA_2009_hmaps_graphical_visualization_and_navigation_of_topic_maps

H-Maps: An Efficient Approach for Graphical Visualization and Navigation of Topic Maps and Data Representation in Computational Biology

Paper, was published by Markus Leber, Thilo Klöpfer, and Steffen Hüttner at 2009-11-12

The paper presents overviews the new tool H-Maps.

External Link: more information

Nowadays semantic networks become more important in industry and modern science. For this reason there is a need for an efficient tool allowing preparation and navigation through complex data spaces. We present the novel Topic Map tool H-Maps, which offers a web based navigator providing an enhanced utilization and graphical visualization of semantic networks. Present applications transform existing content to subject-centric Topic Map representations in a one-way fashion. Preserving the advantage of transferring diverse back ends into a unified topic map in existing applications the H-Maps approach goes one step further. The resulting topic map structure can be examined and extended with an iterative procedure. Especially in science this procedure is leading to a considerable improvement of flexibility and performance as can be shown within projects of computational biology.

Presented at

TMRA 2009

Conference in Leipzig from {{start}} to {{end}}


Call for Contributions TMRA 2009 will be the fifth event in the annual series of international conferences on Topic Maps Research and …

Visit homepage of TMRA 2009



is a {{project}}.


H-Maps ist die Software-Antwort der Hölle & Hüttner AG zur Darstellung Ihrer Daten- und Informationsstrukturen. Auf Basis des 1999 festegelegten ...

Visit homepage of H-Maps



is associated with {{count}} items.


TMDM is the abbreviation for Topic Maps Data Model. You will find a compact illustration of all relationships within the TMDM


is associated with {{count}} items.


The acronym GTM stands for Graphical Topic Maps notation. GTM is a graphical notation used to define ontologies (level 1) and represent Topic Maps instance data (level 0).


Follow us on Twitter


Topic Maps aware search adds an important and efficient access path both to information, and to the knowledge represented in our application systems.

Ralf Eilbracht
Topic Maps Lab auf der Cebit 2011

Graduate from the Topic Maps Lab