A system for semantic data fusion in sensor networks Export

@inproceedings{citeulike:5378072, abstract = {Emerging sensor network technologies are expected to substantially augment applications such as environmental monitoring, health-care, and home/commercial automation. However, much of the existing work focuses mainly on collecting and using sensor level data from isolated sensor networks directly, which still burdens applications with the task of interpreting the context and meaning of sensor data. In order to infer high-level phenomena, sensor data needs to be filtered, aggregated, correlated, and translated from many heterogeneous and dispersed sensor networks. In this paper, we present a novel system for decoupling the process of semantic data fusion from application logic based on semantic Content-based Publish/Subscribe techniques. Our main contribution is an integrated system that allows efficient semantic event detection to occur both within and across sensor networks by translating events using ontologies.}, address = {New York, NY, USA}, author = {Wun, Alex and Petrovi, Milenko and Jacobsen, Hans A.}, booktitle = {DEBS '07: Proceedings of the 2007 inaugural international conference on Distributed event-based systems}, citeulike-article-id = {5378072}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1266907}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1266894.1266907}, doi = {10.1145/1266894.1266907}, isbn = {978-1-59593-665-3}, keywords = {fusion, sensor\_networks, stream\_based\_systems}, location = {Toronto, Ontario, Canada}, pages = {75--79}, posted-at = {2009-08-06 10:02:26}, priority = {2}, publisher = {ACM}, title = {A system for semantic data fusion in sensor networks}, url = {http://dx.doi.org/10.1145/1266894.1266907}, year = {2007} }

TY - CONF ID - citeulike:5378072 L3 - citeulike-article-id:5378072 N2 - Emerging sensor network technologies are expected to substantially augment applications such as environmental monitoring, health-care, and home/commercial automation. However, much of the existing work focuses mainly on collecting and using sensor level data from isolated sensor networks directly, which still burdens applications with the task of interpreting the context and meaning of sensor data. In order to infer high-level phenomena, sensor data needs to be filtered, aggregated, correlated, and translated from many heterogeneous and dispersed sensor networks. In this paper, we present a novel system for decoupling the process of semantic data fusion from application logic based on semantic Content-based Publish/Subscribe techniques. Our main contribution is an integrated system that allows efficient semantic event detection to occur both within and across sensor networks by translating events using ontologies. CY - Toronto, Ontario, Canada SN - 978-1-59593-665-3 AD - New York, NY, USA EP - 79 TI - A system for semantic data fusion in sensor networks PB - ACM T2 - DEBS '07: Proceedings of the 2007 inaugural international conference on Distributed event-based systems SP - 75 KW - fusion KW - sensor_networks KW - stream_based_systems AU - Wun, Alex AU - Petrovi, Milenko AU - Jacobsen, Hans PY - 2007/// UR - http://dx.doi.org/10.1145/1266894.1266907 ER -