Architectural Reconstruction of 3D Building Objects through Semantic Knowledge Management

Abstract : This paper presents an ongoing research which aims at combining geometrical analysis of point clouds and semantic rules to detect 3D building objects. Firstly by applying a previous semantic formalization investigation, we propose a classification of related knowledge as definition, partial knowledge and ambiguous knowledge to facilitate the understanding and design. Secondly an empirical implementation is conducted on a simplified building prototype complying with the IFC standard. The generation of empirical knowledge rules is revealed and semantic scopes are addressed both in the bottom up manner along the line of geometry --> topology --> semantic, and a vice versa top down manner. Concrete implementation is on the platform of protégé with Semantic Web Rule Language (SWRL)
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Communication dans un congrès
IEEE Computer Society. SNDP 2010, Jun 2010, Londre, United Kingdom. pp.261-266, ISBN: 978-0-7695-4088-7, 2010
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Dernière modification le : mercredi 9 novembre 2011 - 15:42:47
Document(s) archivé(s) le : vendredi 10 février 2012 - 02:31:55

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Duan Yucong, Christophe Cruz, Christophe Nicolle. Architectural Reconstruction of 3D Building Objects through Semantic Knowledge Management. IEEE Computer Society. SNDP 2010, Jun 2010, Londre, United Kingdom. pp.261-266, ISBN: 978-0-7695-4088-7, 2010. <hal-00639579>

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