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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Buildings and Semantics : Data Models and Web Technologies for the Built Environment
Περιγραφή: 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.
Συγγραφείς: Pieter Pauwels, Kris McGlinn
Resource Type: eBook.
Θέματα: Building--Data processing, Semantic Web
Categories: ARCHITECTURE / Design, Drafting, Drawing & Presentation, COMPUTERS / Distributed Systems / Cloud Computing, COMPUTERS / Internet of Things (IoT)
Βάση Δεδομένων: eBook Index
FullText Text:
  Availability: 0
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PubType: eBook
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      – Code: 690.0285
        Scheme: ddc
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      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Building--Data processing
        Type: general
      – SubjectFull: Semantic Web
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            – D: 01
              M: 01
              Type: published
              Y: 2023
            – D: 30
              M: 08
              Type: profile
              Y: 2022
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            – Type: isbn-electronic
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