eprintid: 5635 rev_number: 23 eprint_status: archive userid: 777 dir: disk0/00/00/56/35 datestamp: 2011-01-20 10:40:52 lastmod: 2016-04-20 14:24:05 status_changed: 2011-01-20 10:40:52 type: article metadata_visibility: show item_issues_count: 0 creators_name: Corcho, Oscar creators_name: García-Castro, Raúl title: Five Challenges for the Semantic Sensor Web ispublished: pub subjects: informatica keywords: oeg, Sensor, ontology, query language note: Ontology Engineering Group – OEG abstract: The combination of sensor networks with the Web, web services and database technologies, was named some years ago as the Sensor Web or the Sensor Internet. Most efforts in this area focused on the provision of platforms that could be used to build sensor-based applications more efficiently, considering some of the most important challenges in sensor-based data management and sensor network configuration. The introduction of semantics into these platforms provides the opportunity of going a step forward into the understanding, management and use of sensor-based data sources, and this is a topic being explored by ongoing initiatives. In this paper we go through some of the most relevant challenges of the current Sensor Web, and describe some ongoing work and open opportunities for the introduction of semantics in this context. date: 2010-12 date_type: published publisher: IOS Press official_url: http://iospress.metapress.com/content/f52644v462h28kx4/ id_number: 10.3233/SW-2010-0005 full_text_status: public publication: Semantic Web - Interoperability, Usability, Applicability volume: 1 number: 1-2 pagerange: 121-125 institution: Informatica department: Inteligencia_Artificial refereed: TRUE issn: 1570-0844 rights: none citation: Corcho, Oscar and García-Castro, Raúl (2010). Five Challenges for the Semantic Sensor Web. "Semantic Web - Interoperability, Usability, Applicability", v. 1 (n. 1-2); pp. 121-125. ISSN 1570-0844. https://doi.org/10.3233/SW-2010-0005 . document_url: https://oa.upm.es/5635/1/SemanticSensorWeb_CameraReady.pdf