The paper proposes a distributed framework that provides a systematic way to publish environment data which is being updated continuously; such updates might be issued at specific time intervals or bound to some environment- specific event. The framework targets smart environments having networks of devices and sensors which are interacting with each other and with their respective environments to gather and generate data and willing to publish this data. This paper addresses the issues of supporting the data publishers to maintain up-to-date and machine understandable representations, separation of views (static or dynamic data) and delivering up-to-date information to data consumers in real time, helping data consumers to keep track of changes triggered from diverse environments and keeping track of evolution of the smart environment. The paper also describes a prototype implementation of the proposed architecture. A preliminary use case implementation over a real energy metering infrastructure is also provided in the paper to prove the feasibility of the architecture.
Publishing LO(D)D: Linked Open (Dynamic) Data for Smart Sensing and Measuring Environments / Corno, Fulvio; Razzak, Faisal. - In: PROCEDIA COMPUTER SCIENCE. - ISSN 1877-0509. - STAMPA. - 10C:(2012), pp. 381-388. (Intervento presentato al convegno The 3rd International Conference on Ambient Systems, Networks and Technologies, ANT 2012 tenutosi a Niagara Falls, Ontario, Canada nel August 27-29, 2012) [10.1016/j.procs.2012.06.050].
Publishing LO(D)D: Linked Open (Dynamic) Data for Smart Sensing and Measuring Environments
CORNO, Fulvio;RAZZAK, FAISAL
2012
Abstract
The paper proposes a distributed framework that provides a systematic way to publish environment data which is being updated continuously; such updates might be issued at specific time intervals or bound to some environment- specific event. The framework targets smart environments having networks of devices and sensors which are interacting with each other and with their respective environments to gather and generate data and willing to publish this data. This paper addresses the issues of supporting the data publishers to maintain up-to-date and machine understandable representations, separation of views (static or dynamic data) and delivering up-to-date information to data consumers in real time, helping data consumers to keep track of changes triggered from diverse environments and keeping track of evolution of the smart environment. The paper also describes a prototype implementation of the proposed architecture. A preliminary use case implementation over a real energy metering infrastructure is also provided in the paper to prove the feasibility of the architecture.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2496718
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