Semantic Observation Integration

Sven Schade, Frank Ostermann, Laura Spinsanti and Werner Kuhn
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Sven Schade: European Commission—Joint Research Centre, Institute for Environment and Sustainability, Via E. Fermi 2749, 21027 Ispra (VA), Italy
Frank Ostermann: European Commission—Joint Research Centre, Institute for Environment and Sustainability, Via E. Fermi 2749, 21027 Ispra (VA), Italy
Laura Spinsanti: European Commission—Joint Research Centre, Institute for Environment and Sustainability, Via E. Fermi 2749, 21027 Ispra (VA), Italy
Werner Kuhn: Institute for Geoinformatics, University of Muenster, Weseler Straße 253, 48151 Münster, Germany

Future Internet, 2012, vol. 4, issue 3, 1-23

Abstract: Although the integration of sensor-based information into analysis and decision making has been a research topic for many years, semantic interoperability has not yet been reached. The advent of user-generated content for the geospatial domain, Volunteered Geographic Information (VGI), makes it even more difficult to establish semantic integration. This paper proposes a novel approach to integrating conventional sensor information and VGI, which is exploited in the context of detecting forest fires. In contrast to common logic-based semantic descriptions, we present a formal system using algebraic specifications to unambiguously describe the processing steps from natural phenomena to value-added information. A generic ontology of observations is extended and profiled for forest fire detection in order to illustrate how the sensing process, and transformations between heterogeneous sensing systems, can be represented as mathematical functions and grouped into abstract data types. We discuss the required ontological commitments and a possible generalization.

Keywords: observation; integration; semantic interoperability; ontological commitment; Haskell; functional programming; algebraic specification; DOLCE UltraLite; SSN Ontology; Volunteered Geographic Information (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2012
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