SemProM

Foundations of Semantic Product Memories for the Internet of Things

  • Wolfgang Wahlster
Part of the Cognitive Technologies book series (COGTECH)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Introduction

    1. Front Matter
      Pages 1-1
    2. Anselm Blocher
      Pages 23-37
    3. Gerd Herzog, Alexander Kröner
      Pages 39-55
  3. Platforms for Building a Digital Product Memory

    1. Front Matter
      Pages 57-57
    2. Jörg Neidig, Thomas Grosch, Ulrike Heim
      Pages 73-89
    3. Johannes Lemburg, Dennis Mronga, Achint Aggarwal, José de Gea Fernández, Marc Ronthaler, Frank Kirchner
      Pages 91-106
    4. Young-Jae Cho, Jörg Preißinger
      Pages 107-123
  4. Modeling and Processing Digital Product Memories

    1. Front Matter
      Pages 125-125
    2. Sven Horn, Alexander Claus, Jörg Neidig, Bruno Kiesel, Thorbjørn Hansen, Jens Haupert
      Pages 127-148
    3. Young-Jae Cho, Florian Kuttig, Markus Strassberger, Jörg Preißinger
      Pages 163-174
    4. Jens Haupert, Michael Schneider
      Pages 175-189
    5. Bruno Kiesel, Jörg Neidig
      Pages 191-203
    6. Sven Horn, Barbara Schennerlein, Anne Pförtner, Thorbjørn Hansen
      Pages 205-219
  5. Multimodal Interaction with the Digital Product Memory

    1. Front Matter
      Pages 221-221
    2. Alexander Kröner, Jens Haupert, José de Gea Fernández, Rainer Steffen, Christian Kleegrewe, Martin Schneider
      Pages 223-242

About this book

Introduction

The development of low-cost, compact digital storage, sensors and radio modules allows us to embed digital memories into products to record key events. Such computationally enhanced products can perceive and control their environment, analyze their observations, and communicate with other smart objects and human users. Digital product memories (DPMs) will play a key role in the upcoming fourth industrial revolution based on cyber-physical production systems, resulting in improvements in traceability and quality assurance, more efficient and flexible production, logistics, customization, and recycling, and better information for the consumer.

 

SemProM was a major industrial and academic research project that examined all aspects of the design and implementation of semantic product memories, and this book is a comprehensive assessment of the results achieved. The introductory chapters explain the fundamental ideas and the organization of the related project, while the remaining parts explain how to build, model and process DPMs, multimodal interaction using them, and selected applications.

 

This work is inherently multidisciplinary and the related ideas, technologies, and implementations draw on results in fields such as semantic technologies, machine-to-machine communication, intelligent sensor networks, instrumented environments, embedded systems, smart objects, RFID technology, security, and privacy. The contributing authors are leading scientists and engineers, representing key academic teams and companies.

 

The book explains successful deployment in applications such as manufacturing, green logistics, retail, healthcare, and food distribution, and it will be of value to both researchers and practitioners.

Keywords

Cyberphysical production Digital product memory (DPM) Embedded systems Green logistics Human-computer interaction (HCI) Industry 4.0 Intelligent sensor networks Machine-to-machine communication Multimodal interaction RFID SemProM Semantic product memory Semantic technologies Smart factories Smart objects the Internet of Things

Editors and affiliations

  • Wolfgang Wahlster
    • 1
  1. 1.für Künstliche Intelligenz (DFKI) GmbH, Campus D3_2Deutsches ForschungszentrumSaarbrückenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-37377-0
  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-37376-3
  • Online ISBN 978-3-642-37377-0
  • Series Print ISSN 1611-2482
  • About this book