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ISPRS Int. J. Geo-Inf. 2014, 3(1), 166-205; doi:10.3390/ijgi3010166

Geospatial Narratives and Their Spatio-Temporal Dynamics: Commonsense Reasoning for High-Level Analyses in Geographic Information Systems

1
Cognitive Systems, and Spatial Cognition Research Center (SFB/TR 8), University of Bremen, Bremen 28334, Germany
2
Department of Geography, GeoVISTA Center, The Pennsylvania State University, University Park, PA 16802, USA
*
Author to whom correspondence should be addressed.
Received: 15 December 2013 / Revised: 17 January 2014 / Accepted: 28 January 2014 / Published: 6 February 2014
(This article belongs to the Special Issue Geospatial Monitoring and Modelling of Environmental Change)
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Abstract

The modeling, analysis and visualization of dynamic geospatial phenomenahas been identified as a key developmental challenge for next-generation GeographicInformation Systems (GIS). In this context, the envisaged paradigmatic extensions tocontemporary foundational GIS technology raises fundamental questions concerning theontological, formal representational and (analytical) computational methods that wouldunderlie their spatial information theoretic underpinnings. We present the conceptualoverview and architecture for the development of high-level semantic and qualitativeanalytical capabilities for dynamic geospatial domains. Building on formal methods in theareas of commonsense reasoning, qualitative reasoning, spatial and temporal representationand reasoning, reasoning about actions and change and computational models of narrative,we identify concrete theoretical and practical challenges that accrue in the context offormal reasoning about space, events, actions and change. With this as a basis and withinthe backdrop of an illustrated scenario involving the spatio-temporal dynamics of urbannarratives, we address specific problems and solution techniques chiefly involving qualitativeabstraction, data integration and spatial consistency and practical geospatial abduction. View Full-Text
Keywords: Geographic Information Systems; spatio-temporal dynamics; computational models of narrative; events and objects in GIS; geospatial analysis; ontology; qualitative spatial modeling and reasoning; artificial intelligence; spatial assistance systems; decision-support systems Geographic Information Systems; spatio-temporal dynamics; computational models of narrative; events and objects in GIS; geospatial analysis; ontology; qualitative spatial modeling and reasoning; artificial intelligence; spatial assistance systems; decision-support systems
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Bhatt, M.; Wallgrün, J.O. Geospatial Narratives and Their Spatio-Temporal Dynamics: Commonsense Reasoning for High-Level Analyses in Geographic Information Systems. ISPRS Int. J. Geo-Inf. 2014, 3, 166-205.

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