Buildings and Semantics: Data Models and Web Technologies for the Built Environment

Pauwels, Pieter, McGlinn, Kris

Buildings and Semantics: Data Models and Web Technologies for the Built Environment
  • 出版商: CRC
  • 出版日期: 2022-07-25
  • 售價: $3,990
  • 貴賓價: 9.5 折 $3,791
  • 語言: 英文
  • 頁數: 300
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1032023120
  • ISBN-13: 9781032023120

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商品描述

The built environment has been digitizing rapidly and is now transforming into a physical world that is at all times supplemented by a fully web-supported and interconnected digital version, often referred to as Digital Twin. This book shows how diverse data models and web technologies can be created and used for the built environment. Key features of this book are its technical nature and technical detail. The first part of the book highlights a large diversity of IT techniques and their use in the AEC domain, from JSON to XML to EXPRESS to RDF/OWL, for modelling geometry, products, properties, sensor and energy data. The second part of the book focuses on diverse software solutions and approaches, including digital twins, federated data storage on the web, IoT, cloud computing, and smart cities. Key research and strategic development opportunities are comprehensively discussed for distributed web-based building data management, IoT integration and cloud computing. This book aims to serve as a guide and reference for experts and professionals in AEC computing and digital construction including Master's students, PhD researchers, and junior to senior IT-oriented AEC professionals.

商品描述(中文翻譯)

建築環境正在迅速數位化，並且正轉變為一個始終由完全支援網絡且相互連接的數位版本補充的實體世界，通常稱為數位孿生。本書展示了如何為建築環境創建和使用多樣的數據模型和網絡技術。本書的主要特點是其技術性和技術細節。書的第一部分突出了各種IT技術及其在建築工程領域中的應用，從JSON到XML到EXPRESS到RDF/OWL，用於建模幾何、產品、屬性、感測器和能源數據。書的第二部分聚焦於不同的軟體解決方案和方法，包括數位孿生、網絡上的聯邦數據存儲、物聯網、雲計算和智慧城市。全面討論了分佈式基於網絡的建築數據管理、物聯網整合和雲計算的關鍵研究和戰略發展機會。本書旨在成為建築工程計算和數位建設領域的專家和專業人士的指南和參考，包括碩士生、博士研究人員和初級到高級IT導向的建築工程專業人士。

作者簡介

Pieter Pauwels works as an Associate Professor at the Eindhoven University of Technology (TUe), the Department of the Built Environment. He previously worked at the Department of Architecture and Urban Planning at Ghent University (2008-2019). His work and interests are in information system support for the building life-cycle (architectural design, construction, building operation). With a lot of experience and knowledge in computer science and software development, he is involved in a number of industry-oriented research projects on topics affiliated to AI in construction, design thinking, Building Information Modelling (BIM), Linked Building Data (LBD), Linked Data in Architecture and Construction (LDAC), and Semantic Web technologies.

Kris McGlinn, Ph.D., is a Research Fellow and Computer Scientist in the ADAPT Centre, Trinity College Dublin. His research focus is knowledge engineering, in particular the application of Web of Data technologies for managing data from heterogeneous data sources. He has extensive experience working within the building domain, having worked on several EU and Irish national projects which explored topics ranging from smart building application development and evaluation, energy management in buildings, and the integration of building data with geospatial data. He was Principal Investigator for the H2020 SWIMing project, a Coordination and Support Action which explored the use of Semantic Web technologies for information modelling across EU projects and industry, and he was a founding chair of the W3C Linked Building Data community group, with the stated goal of developing ontologies for managing building data.

作者簡介(中文翻譯)

Pieter Pauwels是荷蘭愛因荷芬科技大學（TUe）建築環境系的副教授。他曾在根特大學建築與城市規劃系（2008-2019）工作。他的研究與興趣主要集中在建築生命周期的信息系統支持（建築設計、施工、運營）。憑藉在計算機科學和軟件開發方面的豐富經驗和知識，他參與了多個面向行業的研究項目，涉及建築信息模型（BIM）、連接建築數據（LBD）、建築和施工中的連接數據（LDAC）以及語義網技術等與建築AI相關的主題。

Kris McGlinn博士是都柏林三一學院ADAPT中心的研究員和計算機科學家。他的研究重點是知識工程，特別是應用數據網絡技術管理來自異質數據源的數據。他在建築領域有豐富的經驗，曾參與多個歐盟和愛爾蘭國家項目，探索智能建築應用開發和評估、建築能源管理以及建築數據與地理空間數據的整合等主題。他是H2020 SWIMing項目的首席調查員，該項目是一個協調和支持行動，旨在探索語義網技術在歐盟項目和行業中的信息建模應用。他還是W3C連接建築數據社群組的創始主席，該組織的目標是開發管理建築數據的本體論。

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