An Ontological Representation of Time Series Observations on the Semantic Sensor Web

TitleAn Ontological Representation of Time Series Observations on the Semantic Sensor Web
Publication TypeConference Paper
Year of Publication2009
AuthorsRajkumar Buyya, Amit Sheth, Holger Neuhaus, Cory Henson, Krishnaprasad Thirunarayan
KeywordsSemantic Sensor Web and Ontology and SSW and Observations and Measurements and Sensor Web Enablement and Time Series Observations
Abstract

Time series observations are a common method of collecting sensor data. The Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) provides a standard representation for time series observations within the Observations and Measurements language, and therefore is in heavy use on the Sensor Web. By providing a common model, Observations and Measurements (O&M) facilitates syntax-level integration, but lacks the ability to facilitate semantic-level integration. This inability can cause problems with interoperability between disparate sensor networks that may have subtle variations in their sensing methods. An ontological representation of time series observations could provide a more expressive model and resolve problems of semantic-level interoperability of sensor networks on the Semantic Sensor Web. In this paper, such an ontology model is proposed, as well as a real-world usecase from sensor networks currently measuring rainfall in the South Esk river catchment in the North East of Tasmania, Australia.

Full Text

Cory Henson, Holger Neuhaus, Amit Sheth, Krishnaprasad Thirunarayan, Rajkumar Buyya, 'An Ontological Representation of Time Series Observations on the Semantic Sensor Web,' in Proceedings of 1st International Workshop on the Semantic Sensor Web 2009, collocated with the 6th European Semantic Web Conference (ESWC 2009), Herkalion, Greece, June 1, 2009
project: Semantic Sensor Web
year: 2009
venue url: http://semsensweb.di.uoa.gr/
related resource url: http://scholar.google.com/citations?view_op=view_citation&hl=en&user=2T3...
hasURL: http://semsensweb.di.uoa.gr/semsensweb2009_submission_4.pdf