6533b871fe1ef96bd12d118a
RESEARCH PRODUCT
Architectural Reconstruction of 3D Building Objects through Semantic Knowledge Management
Christophe NicolleYucong DuanChristophe Cruzsubject
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]cognitionComputer science02 engineering and technologySemanticscomputer.software_genreSocial Semantic Webformal[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic similaritySemantic computing0202 electrical engineering electronic engineering information engineering[INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic WebInformation retrieval[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]Semantic Web Rule Languagebusiness.industryepistemology020207 software engineeringknowledge management[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Semantic gridsemanticSemantic technology020201 artificial intelligence & image processingData miningbusinesscomputerdescription
International audience; 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)
year | journal | country | edition | language |
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2010-06-09 |