Review of Big Data Integration in Construction Industry Digitalization
Omar Sedeeq Yousif,Rozana Zakaria,Eeydzah Aminudin,Khairulzan Yahya,Abdul Rahman Mohd Sam,Loganathan Singaram,Vikneswaran Munikanan,Muhamad Azani Yahya,Noraziah Wahi,Siti Mazzuana Shamsuddin +9 more
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In this paper, the authors present a comprehensive study of the literature, investigating the potential application of big data integration in the construction industry, and present the current utilization, the issues, and ways for potential works along with the challenges companion with the implementation.Abstract:
The 2030 agenda for sustainable development has embraced the importance of sustainable practices in the construction industry. In parallel with the revolution of industry 4.0, the advancement of technology offering advanced data management which the construction practices have been revolutionized by the capability to process and extract value from data. This phenomenon attracts the requirement of Big Data (BD). The construction industry deals with large volumes of heterogeneous data; which is expected to increase exponentially following an intense use of modern technologies. This research presents a comprehensive study of the literature, investigating the potential application of BD integration in the construction industry. The adoption of such technologies in this industry remains at a nascent stage and lags broad uptake of these technologies in other fields. The Construction Industry is driving to boost its productivity through the implementation of data technologies; hence, significant research is needed in this area. Currently, there is a lack of deep comprehensive research on BD integration applications that provide insight for the construction industry. This research closes the gap and gives an overview of the literature. The discussion presented the current utilization, the issues, and ways for potential works along with the challenges companion with the implementation.read more
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Organisational Factors of Artificial Intelligence Adoption in the South African Construction Industry
TL;DR: In this paper , the authors identify organisational factors imperative to driving the adoption of AI in construction organizations, such as innovative organisational culture, competence-based development, collaborative decision-making, and strategic analysis.
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Development of construction projects as a compond aggregated system
TL;DR: In this paper , the authors considered development as a modern form of investment activity in the real estate market and identified problematic issues of designing and implementation of development projects from the point of view of an aggregated system approach, which is using the latest information technologies.
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Web-Based Big Data Integration Visualisation Solutions
TL;DR: In this paper , an overview of the migrations of an existing computer-based application, used to analyse multidata sources of enterprises, to a web-based one is presented, which has wide beneficial features; it provides high-performance real-time data analysis, data multimodal visualisation, and friendly to use.
References
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Amir H. Gandomi,Murtaza Haider +1 more
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TL;DR: The definition, characteristics, and classification of big data along with some discussions on cloud computing are introduced, and research challenges are investigated, with focus on scalability, availability, data integrity, data transformation, data quality, data heterogeneity, privacy, legal and regulatory issues, and governance.
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Big Data in the construction industry
Muhammad Bilal,Lukumon O. Oyedele,Junaid Qadir,Kamran Munir,Saheed O. Ajayi,Olugbenga O. Akinade,Hakeem A. Owolabi,Hafiz Alaka,Maruf Pasha +8 more
TL;DR: This paper presents a wide-ranging interdisciplinary review of literature of fields such as statistics, data mining and warehousing, machine learning, and Big Data Analytics in the context of the construction industry and discusses the future potential of such technologies across the multiple domain-specific sub-areas of theConstruction industry.
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EXPRESS to OWL for construction industry: Towards a recommendable and usable ifcOWL ontology
Pieter Pauwels,Walter Terkaj +1 more
TL;DR: This paper looks into existing efforts in obtaining an ifcOWL ontology from the EXPRESS schemas of IFC and analyses which features would be required in a usable and recommendable ifcowL ontologies.