Functional Integration for the Observation Web

The integration of sensor-based information has been a research topic for many years. International standards, such as the Sensor Web Enablement (SWE) suite of specifications that will soon be released in its second version, have been developed, and major syntactical and structural challenges have been overcome. Solutions for addressing semantic aspects of interoperability have been suggested, but mature applications are still missing. The advent of user generated content for the geospatial domain, Volunteered Geographic Information (VGI), which can be considered as readings of virtual sensors, makes it even more difficult to establish formal systems for the combination of information that is based on heterogeneous sensing methods. This paper proposes a novel approach of integrating conventional sensor information and VGI, which is exploited in the context of detecting forest fire events. In contrast to common logic-based semantic descriptions, we present a formal system using algebraic specifications as a more elegant, illustrative and straight forward solution.

[1]  Amit P. Sheth,et al.  Semantic Sensor Web , 2008, IEEE Internet Computing.

[2]  Andrew U. Frank,et al.  Towards a Mathematical Theory for Snapshot and Temporal Formal Ontologies , 2007, AGILE Conf..

[3]  Schade Sven Ontology-Driven Translation of Geospatial Data , 2010 .

[4]  Andrew U. Frank,et al.  FORMALIZATION OF CONCEPTUAL MODELS FOR GIS USING GOFER , 1995 .

[5]  Frank O. Ostermann,et al.  Retrieve Volunteered Geographic Information for Forest Fire , 2011, IIR.

[6]  Hartmut Ehrig,et al.  Fundamentals of Algebraic Specification 1 , 1985, EATCS Monographs on Theoretical Computer Science.

[7]  Michael F. Goodchild,et al.  Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0 , 2007, Int. J. Spatial Data Infrastructures Res..

[8]  Christoph Stasch,et al.  New Generation Sensor Web Enablement , 2011, Sensors.

[9]  Frank O. Ostermann,et al.  A conceptual workflow for automatically assessing the quality of volunteered geographic information for crisis management , 2011 .

[10]  Peyton Jones,et al.  Haskell 98 language and libraries : the revised report , 2003 .

[11]  Christoph Stasch,et al.  Geospatial Standards for Web-enabled Environmental Models , 2011, Int. J. Spatial Data Infrastructures Res..

[12]  Ian Sommerville,et al.  Software Engineering, 8. Auflage , 2007, it : Informatik.

[13]  Krzysztof Janowicz,et al.  The Stimulus-Sensor-Observation Ontology Design Pattern and its Integration into the Semantic Sensor Network Ontology , 2010, SSN.

[14]  Nicola Guarino,et al.  Formal Ontology in Information Systems , 1998 .

[15]  Andrew U. Frank,et al.  Lifting Imprecise Values , 2008, AGILE Conf..

[16]  Werner Kuhn A Functional Ontology of Observation and Measurement , 2009, GeoS.

[17]  Christoph Stasch,et al.  A RESTful proxy and data model for linked sensor data , 2013, Int. J. Digit. Earth.

[18]  Beng Chin Ooi,et al.  The Claremont report on database research , 2008, SGMD.

[19]  Sven Schade,et al.  Digital Earth's Nervous System for crisis events: real-time Sensor Web Enablement of Volunteered Geographic Information , 2010, Int. J. Digit. Earth.

[20]  Andrew U. Frank,et al.  A Formalization of Metaphors and Image-Schemas in User Interfaces , 1991 .

[21]  Florian Probst,et al.  Comparing Approaches for Semantic Service Description and Matchmaking , 2004, CoopIS/DOA/ODBASE.

[22]  Werner Kuhn,et al.  An Image-Schematic Account of Spatial Categories , 2007, COSIT.