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Topic Maps as Application Data Model for Subject-centric Applications
Paper, was published by Gerhard Weber, Ralf Eilbracht, and Stefan Kesberg at 2008-10-16
Today most applications operate on backends with application specific data models. In contrast to this, we suggest modelling application specific information structures at the level of content, and not at the level of the data model. We demonstrate our approach with a publicly accessible web application. Based on a domain ontology, and a set of knowledge models all content for the example application was mapped into a Topic Map. A Topic Maps web frontend renders interface structures, and knowledge-oriented access paths to the highly networked information space of its backend, and also provides relational tables as if it was based on an application specific data model. This approach provides flexible storage layers for applications, and allows using a single data model for different applications. Moreover, applying subject-orientation from high level ontological concepts down to the data level of property values changes accessing content from navigating data-oriented application specific frontends to navigating knowledge-maps.
Authors
Gerhard Weber
http://www.nexxor.de/dr-gerhard-weber/
Gerhard is project leader of topicWorks Domains, BioRegio STERN-Navigator, topicmapsforge.org, and PSMID.de. He is involved in topicWorks Excel-Plugin.
Ralf Eilbracht
http://www.nexxor.de/ralf-eilbracht/
Ralf is project leader of topicWorks Excel-Plugin. He is involved in TMAPI.Net, BioRegio STERN-Navigator, topicmapsforge.org, and PivotViewer.
Stefan Kesberg
http://www.nexxor.de/stefan-kesberg/
Stefan is project leader of topicWorks Broker and topicWorks Navigator.
Presented at
TMRA 2008
Conference in Leipzig from {{start}} to {{end}}
TMRA 2008 will be the fourth event in the annual series of international conferences on Topic Maps Research and Applications. TMRA is the advanced …
Visit homepage of TMRA 2008
This publication is cited in the following publication
The idea of Topic Maps is essential to enable dynamic information logistic. This requires a system that understands the context of the user to provide relevant informations and options automatically. Therefore semantic analysis is needed organizing content in a dynamic net structure.