1. A performance benchmark over semantic rule checking approaches in construction industry
- Author
-
Jos De Roo, Jakob Beetz, Pieter Pauwels, Christophe Nicolle, C. Zhang, Tarcisio Mendes de Farias, Ana Roxin, Department of Architecture and Urban Planning, Ghent University, Ghent University [Belgium] ( UGENT ), Laboratoire d'Electronique, d'Informatique et d'Image UMR CNRS 6306 ( Le2i ), Université de Technologie de Belfort-Montbeliard ( UTBM ) -Centre National de la Recherche Scientifique ( CNRS ) -École Nationale Supérieure d'Arts et Métiers ( ENSAM ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Department of the Built Environment [Eindhoven], Eindhoven University of Technology [Eindhoven] ( TU/e ), AGFA HealthCare, UNIV DE GAND, Department of Architecture and Urban Planning [Gent], Universiteit Gent = Ghent University [Belgium] (UGENT), Laboratoire d'Electronique, d'Informatique et d'Image [EA 7508] (Le2i), Université de Technologie de Belfort-Montbeliard (UTBM)-Université de Bourgogne (UB)-École Nationale Supérieure d'Arts et Métiers (ENSAM), Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-Arts et Métiers Sciences et Technologies, HESAM Université (HESAM)-HESAM Université (HESAM)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), Eindhoven University of Technology [Eindhoven] (TU/e), and Information Systems Built Environment
- Subjects
Rule checking : Linked data ,Process (engineering) ,Computer science ,0211 other engineering and technologies ,[ INFO.INFO-WB ] Computer Science [cs]/Web ,ifcOWL ,02 engineering and technology ,computer.software_genre ,Benchmark ,[SPI]Engineering Sciences [physics] ,Documentation ,Artificial Intelligence ,021105 building & construction ,0202 electrical engineering, electronic engineering, information engineering ,[ SPI ] Engineering Sciences [physics] ,RDF ,Semantic Web ,Design rule checking ,business.industry ,Linked data ,[INFO.INFO-WB]Computer Science [cs]/Web ,computer.file_format ,Reasoning ,Rule checking ,Data model ,Benchmark (computing) ,020201 artificial intelligence & image processing ,Data mining ,Software engineering ,business ,computer ,Semantic web ,Information Systems - Abstract
International audience; As more and more architectural design and construction data is represented using the Resource Description Framework (RDF) data model, it makes sense to take advantage of the logical basis of RDF and implement a semantic rule checking process as it is currently not available in the architectural design and construction industry. The argument for such a semantic rule checking process has been made a number of times by now. However, there are a number of strategies and approaches that can be followed regarding the realization of such a rule checking process, even when limiting to the use of semantic web technologies. In this article, we compare three reference rule checking approaches that have been reported earlier for semantic rule checking in the domain of architecture, engineering and construction (AEC). Each of these approaches has its advantages and disadvantages. A criterion that is tremendously important to allow adoption and uptake of such semantic rule checking approaches, is performance. Hence, this article provides an overview of our collaborative test results in order to obtain a performance benchmark for these approaches. In addition to the benchmark, a documentation of the actual rule checking approaches is discussed. Furthermore, we give an indication of the main features and decisions that impact performance for each of these three approaches, so that system developers in the construction industry can make an informed choice when deciding for one of the documented rule checking approaches.
- Published
- 2017
- Full Text
- View/download PDF