Querying Sensor Data for Semantic Product Memories
C. Seitz, C. Legat, and J. Neidig. Workshops Proceedings of the 5th International Conference on Intelligent Environments, volume 4 of Ambient Intelligence and Smart Environments, page 51--57. Amsterdam, IOS Press, (2009)
DOI: 10.3233/978-1-60750-056-8-51
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 Semantic Product Memory. This memory stores data of the complete product life cycle. This paper introduces a middleware for accumulating semantic product memories with sensor data. Our contribution encompasses software modules for a uniform sensor access, a sensor data ontology and a query interface for semantic product memory applications.
%0 Conference Paper
%1 SeitzLegatNeidig09IE-WS
%A Seitz, Christian
%A Legat, Christoph
%A Neidig, Jörg
%B Workshops Proceedings of the 5th International Conference on Intelligent Environments
%C Amsterdam
%D 2009
%E Schneider, Michael
%E Kröner, Alexander
%E Encinas Alvarado, Julio C.
%E Higuera, Andres Garcia
%E Augusto, Juan C.
%E Cook, Diane J.
%E Ikonen, Veikko
%E Cech, Pavel
%E Mikulecký, Peter
%E Kameas, Achilles
%E Callaghan, Vic
%I IOS Press
%K 01801 paper embedded ai semantic product information sensor data middleware rfid zzz.iot
%P 51--57
%R 10.3233/978-1-60750-056-8-51
%T Querying Sensor Data for Semantic Product Memories
%V 4
%X 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 Semantic Product Memory. This memory stores data of the complete product life cycle. This paper introduces a middleware for accumulating semantic product memories with sensor data. Our contribution encompasses software modules for a uniform sensor access, a sensor data ontology and a query interface for semantic product memory applications.
@inproceedings{SeitzLegatNeidig09IE-WS,
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 Semantic Product Memory. This memory stores data of the complete product life cycle. This paper introduces a middleware for accumulating semantic product memories with sensor data. Our contribution encompasses software modules for a uniform sensor access, a sensor data ontology and a query interface for semantic product memory applications.},
added-at = {2018-02-11T20:00:10.000+0100},
address = {Amsterdam},
author = {Seitz, Christian and Legat, Christoph and Neidig, J\"{o}rg},
biburl = {https://www.bibsonomy.org/bibtex/2e23e0db3e4d20f6d1ecd9c374180cf06/flint63},
booktitle = {Workshops Proceedings of the 5th International Conference on Intelligent Environments},
crossref = {IE2009WS},
doi = {10.3233/978-1-60750-056-8-51},
editor = {Schneider, Michael and Kr\"{o}ner, Alexander and Encinas Alvarado, Julio C. and Higuera, Andres Garcia and Augusto, Juan C. and Cook, Diane J. and Ikonen, Veikko and {\v{C}}ech, Pavel and Mikuleck\'{y}, Peter and Kameas, Achilles and Callaghan, Vic},
file = {Preprint:2009/SeitzLegatNeidig09IE-WS.pdf:PDF},
groups = {public},
interhash = {5c137e48d87da6e943cf5324d81260f0},
intrahash = {e23e0db3e4d20f6d1ecd9c374180cf06},
issn = {1875-4163},
keywords = {01801 paper embedded ai semantic product information sensor data middleware rfid zzz.iot},
pages = {51--57},
publisher = {IOS Press},
series = {Ambient Intelligence and Smart Environments},
timestamp = {2018-04-16T11:57:22.000+0200},
title = {Querying Sensor Data for Semantic Product Memories},
username = {flint63},
volume = 4,
year = 2009
}