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Modeling Procedural Knowledge: A Generative Modeler for Cultural Heritage

Schinko, Christoph and Strobl, Martin and Ullrich, Torsten and Fellner, Dieter W. (2010):
Modeling Procedural Knowledge: A Generative Modeler for Cultural Heritage.
In: Lecture Notes in Computer Science (LNCS); 6436, pp. 153-165, Springer, Berlin, Heidelberg, New York, Digital Heritage. Third International Conference, EuroMed 2010, DOI: 10.1007/978-3-642-16873-4₁₂,
[Conference or Workshop Item]

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

Item Type: Conference or Workshop Item
Erschienen: 2010
Creators: Schinko, Christoph and Strobl, Martin and Ullrich, Torsten and Fellner, Dieter W.
Title: Modeling Procedural Knowledge: A Generative Modeler for Cultural Heritage
Language: English
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

Series Name: Lecture Notes in Computer Science (LNCS); 6436
Publisher: Springer, Berlin, Heidelberg, New York
Uncontrolled Keywords: Forschungsgruppe Semantic Models, Immersive Systems (SMIS), Generative modeling, Procedural modeling, Documentation, Content creation
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Event Title: Digital Heritage. Third International Conference, EuroMed 2010
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1007/978-3-642-16873-4₁₂
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