Big Data in Construction: Current Applications and Future Opportunities
نویسندگان
چکیده
Big data have become an integral part of various research fields due to the rapid advancements in digital technologies available for dealing with data. The construction industry is no exception and has seen a spike being generated introduction disruptive technologies. However, despite availability such technologies, lagging harnessing big This paper critically explores literature published since 2010 identify trends how can benefit from presence tools as computer-aided drawing (CAD) building information modelling (BIM) provide great opportunity researchers further improve infrastructure be developed, monitored, or improved future. gaps existing been explored detailed analysis was carried out different ways which storage work relevance industry. engineering (BDE) statistics are among most crucial steps integrating technology construction. results this study suggest that while studies set stage improving research, integration associated into not very clear. Among future opportunities, safety, site management, heritage conservation, project waste minimization quality improvements key areas.
منابع مشابه
Big Data and Cross-Document Coreference Resolution: Current State and Future Opportunities
Information Extraction (IE) is the task of automatically extracting structured information from unstructured/semi-structured machine-readable documents. Among various IE tasks, extracting actionable intelligence from ever-increasing amount of data depends critically upon Cross-Document Coreference Resolution (CDCR) the task of identifying entity mentions across multiple documents that refer to ...
متن کاملExploring Opportunities for Non-volatile Memories in Big Data Applications
Large-capacity memory system allows big data applications to load as much data as possible for in-memory processing, which improves application performance. However, DRAM faces both scalability and energy challenges due to its inherent charging mechanism. Thus, DRAM-based memory system incurs excessive cost to meet both capacity and energy requirements for the emerging big data workloads. Fortu...
متن کاملBig Data Processing: Big Challenges and Opportunities
With the rapid growth of emerging applications like social network, semantic web, sensor networks and LBS (Location Based Service) applications, a variety of data to be processed continues to witness a quick increase. Effective management and processing of large-scale data poses an interesting but critical challenge. Recently, big data has attracted a lot of attention from academia, industry as...
متن کاملAccess methods for Big Data: current status and future directions
Heterogeneity, size, timeliness, difficulty & confidentiality problems with Big Data hinder advancement at all phases of the channel that can create value from data. Data analysis, organization, retrieval & modeling are initial challenges for Big Data. Data investigation is a clear traffic jam in many applications, both due to lack of scalability of the core algorithms and due to the difficulty...
متن کاملOpportunities in Big Data Management and Processing
Every day we witness new forms of data in various formats. Some example include structured data from transactions we make, unstructured data as text communications of different kinds, varieties of multimedia files and video streams. To ensure efficient processing of this data, often called ‘Big Data’, the use of highly distributed and scalable systems and new data management architectures, e.g....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Big data and cognitive computing
سال: 2022
ISSN: ['2504-2289']
DOI: https://doi.org/10.3390/bdcc6010018