You are here

SemSOS: Semantic Sensor Observation Service

Do you want to lose weight fast but do not know how? Are you tired of big belly? To lose weight quickly you need to follow the rules how to lose weight fast and how to lose weight fast for women.
Eat less harmful products, get exercise, then to not ask yourself how to lose weight fast for men, try all sorts of fast diets, including detox diet. Love your body and do not overeat to be thin.
Title SemSOS: Semantic Sensor Observation Service
Author , , ,
Venue Proceedings of 2009 International Symposium on Collaborative Technologies and Systems (CTS 2009)
Year 2009
Resource Type ConferencePaper
Keyword(s) Semantic Sensor Web,Semantic Web,SSW,Sensor Observation Service,Sensor Web,SemSOS,semantic sensor data stream
Full Citation Cory Henson, Josh Pschorr,Amit Sheth, Krishnaprasad Thirunarayan, 'SemSOS: Semantic Sensor Observation Service', In Proceedings of the 2009 International Symposium on Collaborative Technologies and Systems (CTS 2009), Baltimore, MD, May 18-22, 2009.
Abstract Sensor Observation Service (SOS) is a Web service specification defined by the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) group in order to standardize the way sensors and sensor data are discovered and accessed on the Web. This standard goes a long way in providing interoperability between repositories of heterogeneous sensor data and applications that use this data. Many of these applications, however, are ill equipped at handling raw sensor data as provided by SOS and require actionable knowledge of the environment in order to be practically useful. There are two approaches to deal with this obstacle, make the applications smarter or make the data smarter. We propose the latter option and accomplish this by leveraging semantic technologies in order to provide and apply more meaningful representation of sensor data. More specifically, we are modeling the domain of sensors and sensor observations in a suite of ontologies, adding semantic annotations to the sensor data, using the ontology models to reason over sensor observations, and extending an open source SOS implementation with our semantic knowledge base. This semantically enabled SOS, or SemSOS, provides the ability to query high-level knowledge of the environment as well as low-level raw sensor data.
pdf
Additional Resources >>
url

DISCLAIMER : Readers may view, browse, and/or download material for temporary copying purposes only, provided these uses are for noncommercial personal purposes. Except as provided by law, this material may not be further reproduced, distributed, transmitted, modified, adapted, performed, displayed, published, or sold in whole or in part, without prior written permission from the publisher.



Edit this page
<< Back to Knoesis Library  

© 2012 Kno.e.sis | 377 Joshi Research Center, 3640 Colonel Glenn Highway, Dayton, OH 45435 | (937 - 775 - 5217)