University of Twente Student Theses


Linked Data in the AEC : a case-study on the application of Linked Data for Cost Control

Sluijsmans, S.J.A.H. (2018) Linked Data in the AEC : a case-study on the application of Linked Data for Cost Control.

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Abstract:Typical characteristics of the Architecture, Engineering & Construction (AEC) industry include the many temporary collaboration partnerships (for the production of constructions), the focus on projects, and the heavy involvement of the client in the process. Due to these characteristics, the AEC industry can be described as a complex systems industry. Furthermore, the complexity of works, inaccurate evaluation of project performance, and risks and uncertainties, strongly perform as cost control inhibiting factors. This resulted in a need for close collaboration of parties throughout the entire life-cycle of a construction. A more effective approach to the management of information from these numerous disciplines is required. Processing information from a variety of sources and disciplines is a human-intensive process and requires specialized human resources. Presenting data in a computer processable format can greatly reduce the needed amount of human resources and improve the efficiency. The use of semantic web technologies is often regarded as a tool to improve interoperability in the AEC industry. Furthermore, semantic web technologies such as linked data make it possible to visualize information in structured graphs and integrate digital construction information of different nature. Linked data is a term for describing a method for publishing, sharing and connecting data, information and knowledge on the semantic web with the aid of uniform resource identifiers (URI’s) and the resource description framework (RDF). The authors propose in this paper that the application of linked data creates more and faster insight (into the state of affairs) with the same data regarding cost control in infrastructure projects. With the use of a literature study, a case study, and a proof of concept, this research provides evidence that existing project data can easily be transformed into RDF/XML and that linked data can be applied for cost control in the construction industry. This, in turn, can help contractors to speed up their decision-making processes and make more substantiated decisions.
Item Type:Essay (Master)
Faculty:ET: Engineering Technology
Subject:56 civil engineering
Programme:Construction Management and Engineering MSc (60337)
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