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.
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