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N. Ghiassi, M. Taheri, U. Pont, A. Mahdavi:
"A Semantic Web Approach to Efficient Building Product Data Procurement";
Talk: ECPPM 2016 eWork and eBusiness in Architecture, Engineering and Construction, Limassol, Cyprus; 2016-09-07 - 2016-09-09; in: "Proceedings of the 11th European Conference on Product and Process Modelling", S.E. Christodoulou, R.J. Scherer (ed.); Balkema, (2016), ISBN: 9781138032804; 457 - 464.

Multiplicity of views and lack of a common ontological understanding of a building and its com-ponents among stakeholders involved in the building delivery and operation processes, result in an information gap between the requirements of various tasks and applications and the available building product representa-tions. On the other hand, due to the extent and the dispersion of the available data, extraction of useful infor-mation in the right format has become a cumbersome and error-prone process. BAU_Web is an ongoing re-search effort aimed at exploring the potential of Semantic Web Technologies towards facilitating the utilization of web-based building product data. The present contribution describes the data-related challenges of the AEC (Architecture-Engineering-Construction) domain using the example of a loadbearing wall component, intro-duces the framework suggested by the BAU-Web project to address these challenges, and reports on the cur-rent state of the project.

[no german abstract available] Multiplicity of views and lack of a common ontological understanding of a building and its com-ponents among stakeholders involved in the building delivery and operation processes, result in an information gap between the requirements of various tasks and applications and the available building product representa-tions. On the other hand, due to the extent and the dispersion of the available data, extraction of useful infor-mation in the right format has become a cumbersome and error-prone process. BAU_Web is an ongoing re-search effort aimed at exploring the potential of Semantic Web Technologies towards facilitating the utilization of web-based building product data. The present contribution describes the data-related challenges of the AEC (Architecture-Engineering-Construction) domain using the example of a loadbearing wall component, intro-duces the framework suggested by the BAU-Web project to address these challenges, and reports on the cur-rent state of the project.

Project Head Ardeshir Mahdavi:
Ontologien für automatisierte Erschließung web-basierter Bauproduktdaten für Industrie, Planer und Klienten