Live linked open sensor database.Le Phuoc, D.; Parreira; Xavier, J.; Hausenblas, M.; Han, Y.; and Hauswirth, M.2010.In Proceedings of the 6th International Conference on Semantic Systems, 46:1----46:4, ACM, New York, NY, USA. Live linked open sensor databaseBibtex
Semantic annotation and reasoning for sensor data.Wei, W., and Barnaghi, P.2009.In EuroSSC'09: Proceedings of the 4th European conference on Smart sensing and context, 66--76, Springer-Verlag, Berlin, Heidelberg. Semantic annotation and reasoning for sensor dataBibtexAbstract:
Developments in (wireless) sensor and actuator networks and the capabilities to manufacture low cost and energy efficient networked embedded devices have lead to considerable interest in adding real world sense to the Internet and the Web. Recent work has raised the idea towards combining the Internet of Things (i.e. real world resources) with semantic Web technologies to design future service and applications for the Web. In this paper we focus on the current developments and discussions on designing Semantic Sensor Web, particularly, we advocate the idea of semantic annotation with the existing authoritative data published on the semantic Web. Through illustrative examples, we demonstrate how rule-based reasoning can be performed over the sensor observation and measurement data and linked data to derive additional or approximate knowledge. Furthermore, we discuss the association between sensor data, the semantic Web, and the social Web which enable construction of context-aware applications and services, and contribute to construction of a networked knowledge framework.
Linked Data and Complex Event Processing for the Smart Energy Grid.Wagner, A.; Anicic, D.; Stühmer, R.; Stojanovic, N.; Harth, A.; and Studer, R.2010.In Proc. of Linked Data in the Future Internet at the Future Internet Assembly, CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073), Ghent, December. Linked Data and Complex Event Processing for the Smart Energy GridBibtex
Linked Sensor Data: RESTfully serving RDF and GML.Page, K.; Roure; De, D.; Martinez, K.; Sadler, J.; and Kit, O.2009.In Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN09) at ISWC 2009, Volume 522, 49--63, CEUR-WS.org, Washington DC, USA, November, CEUR Workshop Proceedings. Linked Sensor Data: RESTfully serving RDF and GMLBibtex
Linked Stream Data: A Position Paper.Sequeda, J., and Corcho, O.2009.In Proceedings of the 2nd International Workshop on Semantic Sensor Networks (SSN09) at ISWC 2009, Volume 522, 148--157, CEUR-WS.org, Washington DC, USA, November, CEUR Workshop Proceedings. Linked Stream Data: A Position PaperBibtex
Linking Sensor Data - Why, to What, and How?.ler, C. K., and Janowicz, K.2010.In The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010), Shanghai, China. Linking Sensor Data - Why, to What, and How?Bibtex
Exposing Real World Information for the Web of Things.Moraru, A.; Mladenic, D.; Vucnik, M.; Porcius, M.; Fortuna, C.; and Mohorcic, M.2011.In Eighth International Workshop on Information Integration on the Web (IIWeb2011) in conjunction with WWW 2011. Exposing Real World Information for the Web of ThingsBibtex
Publishing Linked Sensor Data.Barnaghi, P., and Presser, M.2010.In The 3rd International workshop on Semantic Sensor Networks 2010 (SSN10) in conjunction with the 9th International Semantic Web Conference (ISWC 2010). Publishing Linked Sensor DataBibtex
Semantic Sensor Information Description and Processing.Huang, V.; Javed; and Kashif, M.2008.In SENSORCOMM '08: Proceedings of the 2008 Second International Conference on Sensor Technologies and Applications, 456--461, IEEE Computer Society, Washington, DC, USA, August. Semantic Sensor Information Description and ProcessingBibtexAbstract:
Wireless sensor networks (WSN) generate large volumes of raw data which possess natural heterogeneity. WSNs are normally application specific with no sharing or reusability of sensor data among applications. In order for applications and services to be developed independently of particular WSNs, sensor data need to be enriched with semantic information. In this paper, we propose a semantic Web architecture for sensor networks (SWASN). This information oriented architecture allows the sensor data to be understood and processed in a meaningful way by a variety of applications with different purposes. We develop ontologies for sensor data and use the Jena API for processing which includes querying and inference over sensor data. By studying a building fire emergency scenario, we show that semantic Web technologies can provide high level information extraction and inference of sensor data.
Provenance Aware Linked Sensor Data.Patni, H.; Sahoo; S, S.; Henson, C.; and Sheth, A.2010.In 2nd Workshop on Trust and Privacy on the Social and Semantic Web Colocated with ESWC2010 Heraklion Greece, Volume 5, CEUR-WS.org. Provenance Aware Linked Sensor DataBibtex
Towards Meaningful URIs for Linked Sensor Data.Janowicz, K., and Br̈oring, A.2010.In Proceedings of the Workshop ” Towards Digital Earth: Search, Discover and Share Geospatial Data 2010″ at Future Internet Symposium, September. Towards Meaningful URIs for Linked Sensor DataBibtex
Linked Sensor Data.Patni, H.; Henson, C.; and Sheth, A.2010.In 2010 International Symposium on Collaborative Technologies and Systems, (CTS 2010), 362--370, IEEE. Linked Sensor DataBibtex