从 BIM 到 Web3:建筑信息学中现有和新兴数据管理方法的批判性解释综述

IF 8 1区 工程技术 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
David F. Bucher , Jens J. Hunhevicz , Ranjith K. Soman , Pieter Pauwels , Daniel M. Hall
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引用次数: 0

摘要

建筑信息学领域支离破碎,对不同数据管理策略之间的相互联系缺乏清晰的认识。这使得解决特定行业的数据管理问题具有挑战性。本研究采用批判性解释综合法,回顾并整合了建筑信息学中现有和新兴的数据管理方法。综述旨在全面,涵盖开放式模式、信息容器、通用数据环境、关联数据等技术和概念,以及区块链和去中心化数据协议等前沿 Web3 技术。不同的方法被识别并分为五类,并映射到一个考虑了数据存储和数据处理模式的二维框架中。系统化的分类提供了对建筑信息学中数据管理策略的简单而全面的理解。此外,该框架还有助于确定数据管理方法的技术水平和发展趋势,为未来的研究视角提供指导,尤其是在与 Web3 技术的交叉领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From BIM to Web3: A critical interpretive synthesis of present and emerging data management approaches in construction informatics
The field of construction informatics is fragmented and lacks clarity in understanding the interconnection of different data management strategies. This makes it challenging to address industry-specific data management issues. Using a critical interpretive synthesis, this study reviews and integrates both present and emerging data management approaches in construction informatics. The review is meant to be comprehensive, encompassing technologies and concepts such as Open Schema, Information Container, Common Data Environments, Linked Data, as well as cutting-edge Web3 technologies such as blockchain and decentralized data protocols. The different approaches are identified and classified into five categories and mapped into a two-dimensional framework that considers data storage and data processing modes. The systematic categorization provides a simple, but comprehensive understanding of data management strategies in construction informatics. Moreover, the framework allows to identify the state of the art and trends of data management approaches, providing guidance for future research perspectives, especially in the intersection with Web3 technologies.
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来源期刊
Advanced Engineering Informatics
Advanced Engineering Informatics 工程技术-工程:综合
CiteScore
12.40
自引率
18.20%
发文量
292
审稿时长
45 days
期刊介绍: Advanced Engineering Informatics is an international Journal that solicits research papers with an emphasis on 'knowledge' and 'engineering applications'. The Journal seeks original papers that report progress in applying methods of engineering informatics. These papers should have engineering relevance and help provide a scientific base for more reliable, spontaneous, and creative engineering decision-making. Additionally, papers should demonstrate the science of supporting knowledge-intensive engineering tasks and validate the generality, power, and scalability of new methods through rigorous evaluation, preferably both qualitatively and quantitatively. Abstracting and indexing for Advanced Engineering Informatics include Science Citation Index Expanded, Scopus and INSPEC.
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