Challenges of Big Data in the age of Building Information Modeling: A high-level conceptual pipeline
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20 septembre 2015
- handle: 10670/1.twchee
- hal: hal-02890096
info:eu-repo/semantics/OpenAccess
Mots-clés
BIM Big Data Information Visualization Information pipeline Architecture Engineering and ConstructionSujets proches
Large data sets Data sets, LargeCiter ce document
Conrad Boton et al., « Challenges of Big Data in the age of Building Information Modeling: A high-level conceptual pipeline », HAL-SHS : architecture, ID : 10670/1.twchee
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Résumé
N-dimensional BIM models integrates many aspects of construction projects information. Construction project managers are facing an important challenge related to making meaningful deduction from this data. Because it is interesting to associate BIM with other information sources and because of the increasing growth of cloud computing, the current data mining tools are showing their limitations. Big data is then gradually getting a reality in the construction industry. This paper tries to define what it means and proposes a high-level conceptual pipeline in order to bridge the gap between BIM-based related visualization works and information visualization domain.