Title | ||
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Querying spatial and temporal data by condition tree: two examples based on environmental issues |
Abstract | ||
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The need to perform complex analysis and decision making tasks has motivated growing interest in Geographic Information Systems (GIS) as a means to compare different scenarios and simulate the evolution of phenomena. However, data and function complexity may critically affect human interaction and system performances during planning and prevention activities. This is especially true when the scenarios of interest involve space or time in imprecise contexts. In this paper we propose a visual language which drives users to perform queries involving discrete objects by considering their temporal component. Moreover, in order to allow queries closer to the user mental model we add a specific hint for relaxing constraints and allowing fuzzy conditions. The visual language will be tested on two specific contexts concerning with the fire risk and the air pollution. |
Year | DOI | Venue |
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2013 | 10.1007/978-3-642-39637-3_20 | ICCSA (1) |
Keywords | Field | DocType |
complex analysis,discrete object,specific hint,querying spatial,specific context,air pollution,environmental issue,fire risk,temporal data,function complexity,condition tree,different scenario,geographic information systems,visual language | Geographic information system,Mental model,Visual language,Computer science,Fuzzy logic,Human interaction,Temporal database,Artificial intelligence,Fire risk,Machine learning,Spatial database | Conference |
Volume | ISSN | Citations |
7971 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 24 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vincenzo Del Fatto | 1 | 27 | 12.17 |
Luca Paolino | 2 | 132 | 21.03 |
Monica Sebillo | 3 | 223 | 37.10 |
Giuliana Vitiello | 4 | 424 | 55.93 |
Genoveffa Tortora | 5 | 1477 | 151.59 |