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SemProM : Foundations of Semantic Product Memories for the Internet of Things
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Editor(s):
Wolfgang Wahlster
Publication date
(Print):
2013
Publisher:
Springer Berlin Heidelberg
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There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
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Semantic Knowledge Base
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Book
ISBN (Print):
978-3-642-37376-3
ISBN (Electronic):
978-3-642-37377-0
Publication date (Print):
2013
DOI:
10.1007/978-3-642-37377-0
SO-VID:
ff91ac7f-9a1c-4144-adf5-c5036472f523
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Book chapters
pp. 3
The Semantic Product Memory: An Interactive Black Box for Smart Objects
pp. 23
SemProM—Dissemination and Impact
pp. 39
Towards an Integrated Framework for Semantic Product Memories
pp. 59
Hardware Requirements for Digital Product Memories
pp. 73
The Smart SemProM
pp. 91
A Robotic Platform for Building and Exploiting Digital Product Memories
pp. 107
Capturing Sensor Data in the SemProM Automotive Scenario
pp. 127
The SemProM Data Format
pp. 149
DPM Mapper: A Concept to Bridge the Gap Between XML-Based Digital Product Memories and Their Binary Representation
pp. 163
A Digital Product Memory Architecture for Cars
pp. 175
The Object Memory Server for Semantic Product Memories
pp. 191
The Block Interface: Accessing Digital Product Memories
pp. 205
Distributed Digital Product Memories
pp. 223
Supporting Interaction with Digital Product Memories
pp. 243
Controlling Interaction with Digital Product Memories
pp. 261
Interaction Modalities for Digital Product Memories
pp. 283
Applying Digital Product Memories in Industrial Production
pp. 305
Using Basic RFID-Based Digital Product Memories for Protection against Counterfeit Goods in Manufacturing Plants
pp. 311
A SemProM Use Case: Tracking & Tracing for Green Logistics and Integrity Control
pp. 329
Enhancement of Consumer Support in Retail Scenarios by Utilization of Semantic Product Memories
pp. 349
A SemProM Use Case: Health Care and Compliance
pp. 363
A SemProM Use Case: Maintenance of Factory and Automotive Components
pp. 381
A Summary of End-User Feedback on Digital Product Memories
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