DocumentCode
3040876
Title
A Semantic-Based Architecture for Sensor Data Fusion
Author
Zafeiropoulos, Anastasios ; Konstantinou, Nikolaos ; Arkoulis, Stamatios ; Spanos, Dimitrios-Emmanuel ; Mitrou, Nikolas
Author_Institution
Nat. Tech. Univ. of Athens, Athens
fYear
2008
fDate
Sept. 29 2008-Oct. 4 2008
Firstpage
116
Lastpage
121
Abstract
In this paper, we present a three-layer flexible architecture which intends to help developers and end users to take advantage of the full potential that modern sensor networks can offer. The proposed architecture deals with issues regarding data aggregation, data enrichment and finally, data management and querying using semantic Web techniques. Semantics are used in order to extract meaningful information from the sensorpsilas raw data and thus facilitate smart applications development over large-scale sensor networks. We describe an open, standards-based, modular architecture which is based on the current standardization efforts of the open geospatial consortium (OGC) and extends them to support semantic Web techniques comprising a core of reusable components and interfaces for supporting different types of services, through Web technologies.
Keywords
data handling; semantic Web; sensor fusion; data aggregation; data enrichment; data management; open geospatial consortium; semantic Web techniques; semantic-based architecture; sensor data fusion; sensor networks; three-layer flexible architecture; Computer architecture; Data mining; Intelligent sensors; Mobile computing; Semantic Web; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Service oriented architecture; Wireless sensor networks; Data Aggregation; OGC; Ontologies; Semantic Web; Sensor;
fLanguage
English
Publisher
ieee
Conference_Titel
Mobile Ubiquitous Computing, Systems, Services and Technologies, 2008. UBICOMM '08. The Second International Conference on
Conference_Location
Valencia
Print_ISBN
978-0-7695-3367-4
Electronic_ISBN
978-0-7695-3367-4
Type
conf
DOI
10.1109/UBICOMM.2008.67
Filename
4641322
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