Abstract: 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.
This short paper is part oft the session Authoring and Navigation at the TMRA 2009 conference.
