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Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model
AbstractThe increasing availability of sensor devices has resulted in important volumes of sensor data, which has raised the issue of making these data fully discoverable and interpretable by applications and end-users. The idea of OGC Sensor Web Enablement (SWE) has addressed this issue by proposing a set of standards to enable accessibility of sensor data over the Web. Similarly, there is a growing interest in volunteered geographic information (VGI). Considering that several researchers have highlighted the potential of this new type of information as a complement to existing, “traditional” data, it becomes important to develop frameworks to support the integration of VGI from several sources and with other types of data. In this paper, we make a first step in this direction by proposing a framework for the semantic interoperability of sensor data and VGI. After having performed an investigation of the types of VGI applications, we have developed a conceptual model of VGI aligned with relevant ISO standards for describing geospatial features. The purpose of this model is to support the generation of common descriptions for VGI applications, which will act as interfaces to higher-level services, such as discovery and reasoning services, in order to be exploited in conjunction with sensor data by client applications. This process is described through architecture for semantic interoperability of sensor data and VGI that we have developed and that we intend to use to set guidelines for future research on integration of VGI in sensor data cyberinfrastructures. We illustrate the possibilities created by the proposed framework with a description of the various services and interfaces required to implement the framework.
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Bakillah, M.; Liang, S.H.; Zipf, A.; Arsanjani, J.J. Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model. ISPRS Int. J. Geo-Inf. 2013, 2, 766-796.View more citation formats
Bakillah M, Liang SH, Zipf A, Arsanjani JJ. Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model. ISPRS International Journal of Geo-Information. 2013; 2(3):766-796.Chicago/Turabian Style
Bakillah, Mohamed; Liang, Steve H.; Zipf, Alexander; Arsanjani, Jamal J. 2013. "Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model." ISPRS Int. J. Geo-Inf. 2, no. 3: 766-796.
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