Exposing real world information for the web of things

Authors:
Alexandra Moraru;Dunja Mladenic;Matevz Vucnik;Maria Porcius;Carolina Fortuna;Mihael Mohorcic
Affiliations:
Artificial Intelligence Laboratory, Jozef Stefan Institute, Jamova, Ljubljana, Slovenia;Artificial Intelligence Laboratory, Jozef Stefan Institute, Jamova, Ljubljana, Slovenia;Jozef Stefan Institute, Jamova, Ljubljana, Slovenia;Jozef Stefan Institute, Jamova, Ljubljana, Slovenia;Jozef Stefan Institute, Jamova, Ljubljana, Slovenia;Jozef Stefan Institute, Jamova, Ljubljana, Slovenia
Venue:
Proceedings of the 8th International Workshop on Information Integration on the Web: in conjunction with WWW 2011
Year:
2011

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Abstract

In this paper, we propose SemSense architecture for collecting real world data from a physical system of sensors and publishing it on the Web, thus contributing to the Web of Things. SemSense comprises of four components: (1) the data collection component, (2) the storage component (3) the semantic enrichment component and (4) the publishing component, which are described and implemented for an existing deployment of a sensor network. Through these components, the real world data is collected from the physical devices, processed, equipped with semantic information and published on the Web. The paper addresses challenges of efficiently collecting data and meta-data from sensors and publishing it following the linked data principles.