This book offers a detailed assessment of the results of SemProM, a major industrial/academic research project that examined the design and implementation of semantic product memories. Covers basic principles and shows how to build, model and process DPMs.

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.

Authors among the leading scientists and engineers in their fields Explains both foundations and industrial deployments Valuable for researchers and practitioners in artificial intelligence, logistics, engineering, and production Includes supplementary material: sn.pub/extras

Autorentext

Prof. Dr. Dr. h.c. mult. Wolfgang Wahlster is the Director and CEO of the German Research Center for Artificial Intelligence (DFKI GmbH) and a Professor of Computer Science at Saarland University, Saarbrücken. In 2000, he was co-opted as a Professor of Computational Linguistics at the same university. In addition, he is the Head of the Intelligent User Interfaces Lab at DFKI.

He was the Scientific Director of the Verbmobil consortium on spontaneous speech translation (1993-2000), the SmartKom consortium on multimodal dialog systems (1999-2003), and the SmartWeb consortium on mobile multimodal access to semantic web services (2004-2008).

He has authored more than 170 technical papers and 8 books on language technology and intelligent user interfaces, and edited many books, among them the Springer titles "Verbmobil: Foundations of Speech-to-Speech Translation", "SmartKom: Foundations of Multimodal Dialogue Systems", and "SemProM: Foundations of Semantic Product Memories for the Internet of Things". His research includes multimodal and perceptive user interfaces, user modeling, embodied conversational agents, semantic web services, semantic product memories, and cyber-physical production systems.

He was awarded the Deutscher Zukunftspreis (German Future Award) in 2001 and he received the Federal Cross of Merit, First Class, the Officer's Cross of the Order of Merit of the Federal Republic of Germany in 2006.

He is the Chief Academic Advisor for Information and Communication Technologies (ICT) in the Research Union of the German Government, he is a member or chair of many key international scientific advisory and governance boards, including the National Institute of Informatics (NII) of Japan, the International Computer Science Institute (ICSI) at Berkeley, the SAP Next Business & Technology Advisory Board, the Intel Visual Computing Institute, the Fondazione Bruno Kessler, and the Future Internet Public-Private Partnershipof the European Commission.

He is a member of many academies, including the German Academy of Sciences and Literature, Mainz, the Royal Swedish Academy of Sciences, Stockholm, the German National Academy of Sciences, Leopoldina, Halle, Acatech - the German Academy of Science and Engineering, Munich, and the Berlin-Brandenburg Academy of Sciences and Humanities, Berlin.

He has chaired and given invited talks at the key international conferences in computational linguistics and artificial intelligence, he is a board member of the key AI journals, and he is a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), the European Coordinating Committee for Artificial Intelligence (ECCAI), and the Gesellschaft für Informatik (GI).

Prof. Wahlster received the Donald E. Walker Distinguished Service Award at IJCAI-13, the International Joint Conferences on Artificial Intelligence, in recognition of his substantial contributions, as well as his extensive service to the field of artificial intelligence throughout his career.

Inhalt
Part I Introduction.- The Semantic Product Memory: An Interactive Black Box for Smart Objects.- SemProM - Dissemination and Impact.- Towards an Integrated Framework for Semantic Product Memories.- Part II Platforms for Building a Digital Product Memory.- Hardware Requirements for Digital Product Memories.- The Smart SemProM.- A Robotic Platform for Building and Exploiting Digital Product Memories.- Capturing Sensor Data in the SemProM Automotive Scenario.- Part III Modeling and Processing Digital Product Memories.- The SemProM Data Format.- DPM Mapper A Concept to Bridge the Gap Between XML-Based Digital Product Memories and Their Binary Representation.- A Digital Product Memory Architecture for Cars.- The Object Memory Server for Semantic Product Memories.- The Block Interface: Accessing Digital Product Memories.- Distributed Digital Product Memories.- Part IV Multimodal Interaction with the Digital Product Memory.- Supporting Interaction with Digital Product Memories.- Controlling Interaction with Digital Product Memories.- Interaction Modalities for Digital Product Memories.- Part V Applications of Digital Product Memories.- Applying Digital Product Memories in Industrial Production.- Using Basic RFID-Based Digital Product Memories for Protection Against Counterfeit Goods in Manufacturing Plants.- A SemProM Use Case: Tracking & Tracing for Green Logistics and Integrity Control.- Enhancement of Consumer Support in Retail Scenarios by Utilization of Semantic Product Memories.- A SemProM Use Case: Health Care and Compliance.- A SemProM Use Case: Maintenance of Factory and Automotive Components.- A Summary of End-User Feedback on Digital Product Memories.