The application of web of data technologies in building materials information modelling for construction waste analytics

Bilal, M. and Oyedele, L.O. and Munir, K. and Ajayi, S.O. and Akinade, O.O. and Owolabi, H.A. and Alaka, Hafiz (2017) The application of web of data technologies in building materials information modelling for construction waste analytics. Sustainable Materials and Technologies, 11. pp. 28-37. ISSN 2214-9937

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Abstract

Predicting and designing out construction waste in real time is complex during building waste analysis (BWA) since it involves a large number of analyses for investigating multiple waste-efficient design strategies. These
analyses require highly specific data of materials that are scattered across different data sources. A repository that facilitates applications in gaining seamless access to relatively large and distributed data sources of building
materials is currently unavailable for conducting the BWA. Such a repository is the first step to developing a simulation tool for the BWA. Existing product data exchange ontologies and classification systems lack adequate
modelling of building materials for the BWA. In this paper, we propose a highly resilient and data-agnostic building materials database.Weuse ontologies at the core of our approach to capture highly accurate and semantically conflicting data of building materials using the Resource Description Framework (RDF) and Web Ontology Language (OWL).Owing to the inherent capabilities of RDF, the architecture provides syntactical homogeneity while accessing the diverse and distributed data of building materials during the BWA.We use software packages such
as Protégé and Oracle RDF Graph database for implementing the proposed architecture. Our research provides technical details and insights for researchers and software engineerswho are seeking to develop the semantic repositories of similar kind of simulation applications that can be used for building waste performance analysis.

Item Type: Article
Uncontrolled Keywords: Building materials database; RDF/OWL; Ontologies; Building waste analysis; Construction waste minimisation; NoSQL systems; Big data analytics
Subjects: K200 Building
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment > Integrated Design Construction
UoA Collections > UoA16: Architecture, Built Environment and Planning
Depositing User: Oana-Andreea Dumitrascu
Date Deposited: 18 May 2017 06:38
Last Modified: 09 Aug 2017 07:32
URI: http://www.open-access.bcu.ac.uk/id/eprint/4460

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