Buildings and Semantics: Data Models and Web Technologies for the Built Environment (建築與語意：建築環境的數據模型與網絡技術)
Pauwels, Pieter, McGlinn, Kris
- 出版商: CRC
- 出版日期: 2024-12-19
- 售價: $2,380
- 貴賓價: 9.5 折 $2,261
- 語言: 英文
- 頁數: 300
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032068973
- ISBN-13: 9781032068978
尚未上市，無法訂購
相關主題
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，並且現在正轉變為一個隨時都由完全網路支持和互聯的數位版本所補充的實體世界，這通常被稱為數位雙胞胎（Digital Twin）。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路技術。本書的主要特點在於其技術性質和技術細節。書的第一部分強調了在AEC領域中使用的各種IT技術，從JSON到XML，再到EXPRESS和RDF/OWL，用於建模幾何、產品、屬性、傳感器和能源數據。書的第二部分則專注於多樣的軟體解決方案和方法，包括數位雙胞胎、網路上的聯邦數據存儲、物聯網（IoT）、雲計算和智慧城市。對於分散式網路建築數據管理、物聯網整合和雲計算的關鍵研究和戰略發展機會進行了全面討論。本書旨在為AEC計算和數位建設領域的專家和專業人士提供指導和參考，包括碩士生、博士研究人員以及初級到高級的IT導向AEC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擔任埃因霍溫科技大學（TUe）建築環境系的副教授。他曾在根特大學的建築與城市規劃系工作（2008-2019）。他的工作和興趣集中在建築生命週期的信息系統支持上（建築設計、施工、建築運營）。擁有豐富的計算機科學和軟體開發經驗，他參與了多個與建築相關的行業導向研究項目，主題包括建築中的人工智慧、設計思維、建築信息建模（BIM）、連結建築數據（LBD）、建築與施工中的連結數據（LDAC）以及語義網技術。
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Web of Data技術在管理來自異質數據源的數據方面的應用。他在建築領域擁有豐富的經驗，曾參與多個歐盟和愛爾蘭國家項目，探討的主題包括智能建築應用的開發與評估、建築中的能源管理，以及建築數據與地理空間數據的整合。他是H2020 SWIMing項目的首席研究員，該項目是一個協調與支持行動，探討語義網技術在歐盟項目和行業中的信息建模的應用。他還是W3C連結建築數據社群小組的創始主席，該小組的目標是開發用於管理建築數據的本體。
