A semantic rule checking environment for building performance checking

Pauwels, Pieter; Deursen, Davy Van; Verstraeten, Ruben; Roo, Jos De; Meyer, Ronald De; Walle, Rik Van de; Campenhout, Jan Van

doi:10.1016/j.autcon.2010.11.017

Cited by 224 publications

(143 citation statements)

References 9 publications

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“…On the other hand, various efforts have been made to apply conformance rules to the representations of construction projects, using the structures of drawings specially coded (IFC) or textual descriptions [5,28,29]. When compared to these works, the originality of our approach lies in the combination of formal representations and SBVR rules from which they are derived to explain the rules themselves or the decision making.…”

Section: State Of the Artmentioning

confidence: 99%

Semantic Web Approach to Ease Regulation Compliance Checking in Construction Industry

et al. 2012

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Regulations in the Building Industry are becoming increasingly complex and involve more than one technical area, covering products, components and project implementations. They also play an important role in ensuring the quality of a building, and to minimize its environmental impact. Control or conformance checking are becoming more complex every day, not only for industrials, but also for organizations charged with assessing the conformity of new products or processes. This paper will detail the approach taken by the CSTB (Centre Scientifique et Technique du Bâtiment) in order to simplify this conformance control task. The approach and the proposed solutions are based on semantic web technologies. For this purpose, we first establish a domain-ontology, which defines the main concepts involved and the relationships, including one based on OWL (Web Ontology Language) [1]. We rely on SBVR (Semantics of Business Vocabulary and Business Rules) [2] and SPARQL (SPARQL Protocol and RDF Query Language) [3] to reformulate the regulatory requirements written in natural language, respectively, in a controlled and formal language. We then structure our control process based on expert practices. Each elementary control step is defined as a SPARQL query and assembled into complex control processes "on demand", according to the component tested and its semantic

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Section: State Of the Artmentioning

confidence: 99%

Semantic Web Approach to Ease Regulation Compliance Checking in Construction Industry

et al. 2012

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“…They also allow us to combine the SimModel information with custom or specialised inference rules and a standard reasoning engine that is, like all semantic web technologies, based on description logics (DL -Baader & Nutt 2003). An example combination of RDF data with inference rules and a standard reasoning engine was previously discussed in Pauwels et al (2011b).…”

Section: Generating and Using Rdf Graphs Of Simmodelsmentioning

confidence: 99%

Making SimModel information available as RDF graphs

Pauwels¹,

Corry²,

O’Donnell³

2014

eWork and eBusiness in Architecture, Engineering and Construction

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Many building energy performance Simulation (BEPS) on tools use custom schema definitions as opposed to standardised schema definitions (defined in XSD, EXPRESS, and so forth). A Simulation Domain Model (SimModel) was therefore previously developed and is representative of a new interoperable XML-based data model for the building simulation domain. In this paper we document our ongoing efforts to make building simulation data more interoperable with other building data. In order to better integrate SimModel information with other building information, the authors propose to represent this information in the Resource Description Framework (RDF). A specialised conversion service parses the SimModel ontology, which is in the form of linked XSD schemata, and output a SimModel ontology in OWL. In this article, we further outline how the conversion service now also parses input SimModel XML files and outputs SimModel instances as RDF graphs. We briefly indicated how those SimModel RDF graphs can subsequently be used.

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“…Some studies developed code checking tools for regulations [6] and other efforts focused on the method of interpretation of rules into machine readable format [5]. Specific domain based studies are also available in literature, like code checking application for high rise buildings [4].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Rule checking with different approaches based on computer model have been discussed by many authors since last few years [4,5]. Some studies developed code checking tools for regulations [6] and other efforts focused on the method of interpretation of rules into machine readable format [5].…”

Section: Literature Reviewmentioning

confidence: 99%

Safety Regulation Classification System to Support BIM Based Safety Management

Hussain¹,

Lee²,

Pham³

et al. 2017

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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-Construction accidents, injuries, and fatalities have not declined significantly, despite continuous efforts from researchers, safety professionals, and strongly-enforced safety laws. In managing safety, construction personnel are required to access a variety of rules, regulations, guidelines, and documents. However, finding the right contents, and communicating them to right person tends to be tedious and time-consuming, because construction safety information is not systematically structured. This study contributes to addressing this issue by introducing a system framework for integrating BIM dataset with classified regulation document. To accomplish the study objective, a general classification system is developed for safety rules using criteria that can reflect safety rules in BIM environments. To demonstrate, the OSHA's safety and health technical guidelines are selected to classify the legal provisions into safety management steps and tasks aiming to integrate with construction work sequence. From classified safety rules, four different cases are presented to show the practical implementation of classification system. The developed approach is expected to reduce oversights, enable to deliver the relevant safety rules at the right time, and reduce the efforts required for searching through safety contents.

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A semantic rule checking environment for building performance checking

Cited by 224 publications

References 9 publications

Semantic Web Approach to Ease Regulation Compliance Checking in Construction Industry

Semantic Web Approach to Ease Regulation Compliance Checking in Construction Industry

Making SimModel information available as RDF graphs

Safety Regulation Classification System to Support BIM Based Safety Management

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