SemsorGrid4Env
The main objective of SemsorGrid4Env is to specify, design, implement, evaluate and deploy a service-oriented architecture and middleware which allows application developers to build open large-scale semantic-based sensor network applications for environmental management. Such architecture and middleware will enable the rapid development of thin applications (e.g., mashups) that require real-world real-time data coming from heterogeneous sensor networks,
making it possible to use sensors for other environmental management purposes than those that they were originally expected to have (hence reducing sensor network deployment costs) and to combine their real-time data with historical data from other data sources, opening possibilities of improving current decision-making procedures in a variety of situations (emergencies, monitoring, etc.). For a more detailed description, visit the website of the project and the project factsheet of the European Commission.
UPM's role in SemSorGrid4Env
UPM coordinates this project. Besides, we are involved in the development of ontologies to create semantic descriptions of sensor networks and other types of data sources, and of the data that they provide. This work is aligned with that of the W3C incubator group on Semantic Sensor Networks (http://www.w3.org/2005/Incubator/ssn/wiki/Main_Page), where UPM is participating, and several ontologies (REFERENCE-URL TO ONTOLOGY SECTION - SSG4Env ontologies) are being generated as a result, covering aspects related to the generic descriptions of these data sources and to the selection of domain ontologies for the SSG4Env use cases on flood prevention and fire risk alert. Finally, UPM is also extending SPARQL, the R2O language and the ODEMapster technology (see details) to deal with data streams coming from sensor networks, allowing the execution of SPARQLstr queries, which are then translated into the SNEE query language and converted into code that is executed inside sensor networks.
Participantes
Las personas involucradas en el desarrollo del proyecto SemSorGrid4Env son:
Publications and other results
- Calbimonte, J P.Corcho, O. Gray, A J G (2010) Enabling Ontology-based Access to Streaming Data Sources. International Semantic Web Conference (ISWC 2010) Presentation.
- Poster ESWC Jean Paul
- Abstract of EGU conference
- Sequeda, J F. Corcho, O. Gomez-Perez, A. (2009) Linked Stream Data: a short paper. 2nd Semantic Sensor Network Workshop at International Semantic Web Conference. Washington DC, US Link
- Sequeda, J F. Corcho, O. (2009) Generating Data Wrapping Ontologies from Sensor Networks: a case study. 2nd Semantic Sensor Network Workshop at International Semantic Web Conference. Washington DC, US Link
The whole list of publications availbles can be checked in the following link.
Most important deliverables published:
- D1.3 SemSorGrid4Env architecture
- D4.1 Design of the SemsorGrid4Env ontology-based data integration model
- D4.2 Implementation and deployment of the ontology-based data integration service
- D4.3 Sensor network ontology suite
The whole list of deliverables availbles can be checked in the following link.
The software developed by UPM in this project is available here.
Additional information can be obtained from the following press releases:
- Un sistema de alerta temprana anticipa inundaciones e incendios forestales (Spanish). http://www.fi.upm.es/?id=tablon&acciongt=consulta1&idet=321
- An early warning system for predicting floods and forest fires (English). http://www.fi.upm.es/?id=tablon&acciongt=consulta1&idet=333
- Sistemas de alerta para prevenir inundaciones e incendios (UPM Magazine, pag. 11). Link to UPM Magazine (article in Spanish).
Additional information
- Start date: 09/01/2008
- End date: 08/31/2011
- Global budget: 4.364.836 €
Job opportunities
There are currently no job offers or studentships available in this project. For offers in other projects or research areas of the group, please check in our job opportunities section.
However, you may contact Óscar Corcho to check whether there are any potential open positions in the near future.
