E-Book, Englisch, 400 Seiten, eBook
Reihe: Cognitive Technologies
Wahlster SemProM
2013
ISBN: 978-3-642-37377-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Foundations of Semantic Product Memories for the Internet of Things
E-Book, Englisch, 400 Seiten, eBook
Reihe: Cognitive Technologies
ISBN: 978-3-642-37377-0
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
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.