Temporal reasoning in geographical information systems
Temporal reasoning in geographical information systems
We present a declarative approach to spatio-temporal analysis of geographical data. We introduce a logical language, MuTACLP+, providing a set of temporal primitive operators that allow the user to perform temporal reasoning on spatial data stored in a geographical information system (GIS). Moreover, the language supports some modularity features, which permit to partition knowledge into separate modules that can be combined to obtain complex forms of reasoning. We describe the general architecture of a system that connects MuTACLP+ with a GIS. Finally, some examples of spatio-temporal analysis in the field of event planning and environmental monitoring are shown.
modularity features, Technology management, data analysis, temporal primitive operators, visual databases, Data analysis, spatio-temporal data analysis, temporal databases, Computational Intelligence Society, Logic programming, geographical information systems, Databases, spatial data, Information systems, Proposals, spatial reasoning, logic programming language, environmental monitoring, geographic information systems, Information analysis, temporal reasoning, Appropriate technology, Object oriented modeling, GIS, MuTACLP+, declarative approach, logic programming languages, event planning
modularity features, Technology management, data analysis, temporal primitive operators, visual databases, Data analysis, spatio-temporal data analysis, temporal databases, Computational Intelligence Society, Logic programming, geographical information systems, Databases, spatial data, Information systems, Proposals, spatial reasoning, logic programming language, environmental monitoring, geographic information systems, Information analysis, temporal reasoning, Appropriate technology, Object oriented modeling, GIS, MuTACLP+, declarative approach, logic programming languages, event planning
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