Abstract
Efficient information management and precise discovery of heterogeneous sensors in the Geospatial Sensor Web (GSW) are a major challenge. Intelligent sensor management requires a registry service to store and process sensor information efficiently. In this paper, we propose a Sensor Metadata Ontology (SMO) to achieve a unified semantic description for heterogeneous sensors that is used to express sensor semantics. Through mapping between the sensor registry information model and the SMO, the sensor metadata could be stored with semantic information for the registry. The framework of a Sensor Semantic Registry Service (SSRS) has been successfully implemented for the registration and discovery of heterogeneous sensors. The results of GEOSENSOR-SSRS experiments show that the proposed semantic registry method can be used to enable sharing in an open distributed sensor network as well as to promote accuracy and efficiency of discovery.
Highlights
The Geospatial Sensor Web includes a large number of heterogeneous sensors that are connected to the Internet [1,2]
The synonyms described in SensorML [8] could be not recognized in the query of the sensor registry service, which leads to semantic conflicts
This paper proposes a new semantic sensor registry method using a Sensor Metadata Ontology (SMO) that can be included in an OGC-Catalog Service for the Web (CSW) (Open Geospatial Consortium -Catalog Service-Web) catalog to enable semantic discovery
Summary
The Geospatial Sensor Web includes a large number of heterogeneous sensors that are connected to the Internet [1,2]. Numerous related sensors exist [3,4]; these sensors are heterogeneous, comprising different types of formats. We propose a semantic registry method and implement the registry service to manage these sensors. The representative registry service is the Catalog Service for the Web (CSW) [5], which has specific registry information models such as the ebXML Registry Information Model (ebRIM) [6]. In the existing sensor registry service, the same terms or concepts have varied descriptions in different sensors. The synonyms described in SensorML [8] could be not recognized in the query of the sensor registry service, which leads to semantic conflicts.
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