Modeling procedural knowledge: a generative modeler for cultural heritage

  • Authors:

  • Christoph Schinko;Martin Strobl;Torsten Ullrich;Dieter W. Fellner

  • Affiliations:

  • Institut für ComputerGraphik und WissensVisualisierung, Technische Universität Graz;Institut für ComputerGraphik und WissensVisualisierung, Technische Universität Graz;Fraunhofer Austria Research GmbH, Visual Computing, Graz, Austria;Institut für ComputerGraphik und WissensVisualisierung, Technische Universität Graz and Fraunhofer Austria Research GmbH, Visual Computing, Graz, Austria, Fraunhofer IGD, Technische Univ ...

  • Venue:
  • EuroMed'10 Proceedings of the Third international conference on Digital heritage
  • Year:
  • 2010

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Abstract

Within the last few years generative modeling techniques have gained attention especially in the context of cultural heritage. As a generative model describes a rather ideal object than a real one, generative techniques are a basis for object description and classification. This procedural knowledge differs from other kinds of knowledge, such as declarative knowledge, in a significant way. It can be applied to a task. This similarity to algorithms is reflected in the way generative models are designed: they are programmed. In order to make generative modeling accessible to cultural heritage experts, we created a generative modeling framework which accounts for their special needs. The result is a generative modeler (http://www.cgv.tugraz.at/euclides) based on an easy-to-use scripting language (JavaScript). The generative model meets the demands on documentation standards and fulfils sustainability conditions. Its integrated meta-modeler approach makes it independent from hardware, software and platforms.