0000000000273366

AUTHOR

Pieter Pauwels

0000-0001-8020-4609

showing 4 related works from this author

SimpleBIM: From full ifcOWL graphs to simplified building graphs

2016

International audience; Recent research in semantic web technologies for the built environment has resulted in several proposals to further improve information exchange among stakeholders from the domain. Most notable is the production of several OWL ontologies that allow to capture building data in RDF graphs. For example, an ifcOWL ontology allows to capture IFC data in an RDF graph. As the building data is now available in a semantic graph with an explicit formal basis, it can be restructured and simplified so that it more easily matches the different requirements associated with practical use case scenarios. In this paper, we investigate several proposals and technological approaches to…

Technology and Engineeringbuilding data[INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]ifcOWL[INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS][ INFO.INFO-CL ] Computer Science [cs]/Computation and Language [cs.CL]IFCBIMlinked data[ INFO.INFO-DS ] Computer Science [cs]/Data Structures and Algorithms [cs.DS][INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]OWL
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Querying and reasoning over large scale building data sets

2016

International audience; The architectural design and construction domains work on a daily basis with massive amounts of data. Properly managing, exchanging and exploiting these data is an ever ongoing challenge in this domain. This has resulted in large semantic RDF graphs that are to be combined with a significant number of other data sets (building product catalogues, regulation data, geometric point cloud data, simulation data, sensor data), thus making an already huge dataset even larger. Making these big data available at high performance rates and speeds and into the correct (intuitive) formats is therefore an incredibly high challenge in this domain. Yet, hardly any benchmark is avai…

Computer scienceData managementBig data[ INFO.INFO-WB ] Computer Science [cs]/Web0211 other engineering and technologiesifcOWL02 engineering and technologySemantic data modelcomputer.software_genreDomain (software engineering)[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Set (abstract data type)benchmarksemantic webbig data021105 building & construction0202 electrical engineering electronic engineering information engineering[ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]Semantic Web[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industry[INFO.INFO-WB]Computer Science [cs]/WebData set[ INFO.INFO-DB ] Computer Science [cs]/Databases [cs.DB]Building information modelingBenchmark (computing)reasoning020201 artificial intelligence & image processingData miningbusinesscomputer
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Proceedings of the 8th Linked Data in Architecture and Construction Workshop (LDAC2020)

2020

International audience

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][SPI.GCIV]Engineering Sciences [physics]/Civil Engineering[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-CE]Computer Science [cs]/Computational Engineering Finance and Science [cs.CE][INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][SPI.GCIV] Engineering Sciences [physics]/Civil Engineering[INFO.INFO-CE] Computer Science [cs]/Computational Engineering Finance and Science [cs.CE]ComputingMilieux_MISCELLANEOUS[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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Proceedings of 6th Linked Data in Architecture and Construction Workshop (LDAC2018)

2018

International audience

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI][SPI.GCIV]Engineering Sciences [physics]/Civil Engineering[INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-CL] Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS][SPI.GCIV] Engineering Sciences [physics]/Civil Engineering[INFO.INFO-LO]Computer Science [cs]/Logic in Computer Science [cs.LO][INFO.INFO-DS] Computer Science [cs]/Data Structures and Algorithms [cs.DS]ComputingMilieux_MISCELLANEOUS[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
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