Title :
Embedding Semantic Product Memories in the web of things
Author :
Seitz, Christian ; Legat, Christoph ; Neidig, Jorg
Author_Institution :
Intell. Autonomous Syst., Siemens AG, Munich, Germany
fDate :
March 29 2010-April 2 2010
Abstract :
Today, RFID is used to identify a wide range of work pieces or individual products for tracking their movements through the logistics chain. For future purposes the idea of storing only a single ID must be extended to a Product Memory. This memory stores data of the complete product life cycle. This paper introduces an architecture and an implementation for integrating data in product memories. Our contribution encompasses software modules for a uniform sensor access, a sensor data ontology and web interfaces for product memory applications.
Keywords :
ontologies (artificial intelligence); product life cycle management; radiofrequency identification; semantic Web; RFID; Web interfaces; Web of things; logistics chain; product life cycle; semantic product memories; sensor data ontology; software modules; uniform sensor access; Application software; Computer architecture; Intelligent sensors; Intelligent systems; Labeling; Logistics; Ontologies; RFID tags; Radiofrequency identification; Tracking;
Conference_Titel :
Pervasive Computing and Communications Workshops (PERCOM Workshops), 2010 8th IEEE International Conference on
Conference_Location :
Mannheim
Print_ISBN :
978-1-4244-6605-4
Electronic_ISBN :
978-1-4244-6606-1
DOI :
10.1109/PERCOMW.2010.5470525