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Modeling procedural knowledge: A generative modeler for cultural heritage

: Schinko, Christoph; Strobl, Martin; Ullrich, Torsten; Fellner, Dieter W.


Ioannides, Marinos (Ed.); Fellner, Dieter W. (Ed.); Georgopoulos, Andreas (Ed.); Hadjimitsis, Diofantos G. (Ed.):
Digital heritage. Third International Euro-Mediterranean Conference, EuroMed 2010 : Lemessos, Cyprus, November 8-13, 2010; Proceedings
Berlin: Springer, 2010 (Lecture Notes in Computer Science 6436)
ISBN: 978-3-642-16872-7
ISBN: 3-642-16872-8
DOI: 10.1007/978-3-642-16873-4
ISSN: 0302-9743
International Euro-Mediterranean Conference (EuroMed) <3, 2010, Lemessos/Cyprus>
Fraunhofer IGD ()
Fraunhofer Austria ()
generative modeling; procedural modeling; documentation; content creation; Forschungsgruppe Semantic Models, Immersive Systems (SMIS)

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 ( 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