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Heterogeneous Data Management on Environmental Sensors Using Ontology Mapping

Kaladevi Ramar and T. T Mirnalinee
Department of Computer Science & Engineering, SSN College of Engineering Chennai, India
Abstract—Wireless sensors are used for monitoring environments such as climate change, water quality and disaster management. The critical task is interpretation of the complex multidimensional data generated by sensors and interoperability among various system and handling of heterogeneous data. There is also need to get a common understanding and decision making by various agencies and research institutions. To handle these requirements importance is given to both syntactic and semantic nature of the data. The syntactic part is responsible for the interoperability of the sensor data. Interoperability is addressed by using Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) framework has developed a suite of specifications enable sensors to be accessible and controllable via the web. Ontologies are widely used as a means for solving the information heterogeneity problems because of their capability to provide explicit meaning to the information. In this paper we propose a Service Oriented Architecture (SOA) model for the interoperability of sensor networks data and semantics of the data. The heterogeneities between various sensor networks are reduced through ontology mapping. The service is available to the users through standard data formats like XML and protocol like SOAP.

Index Terms—wireless sensor networks, semantic web, data management, environmental sensors, service oriented architecture (SOA)

Cite: Kaladevi Ramar and T. T Mirnalinee, "Heterogeneous Data Management on Environmental Sensors Using Ontology Mapping," Lecture Notes on Information Theory, Vol.1, No.4, pp. 154-158, Dec. 2013. doi: 10.12720/lnit.1.4.154-158
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