A Fuzzy Logic based Method for Efficient Retrieval of Vague and Uncertain Spatial Expressions in Text Exploiting the Granulation of the Spatial Event Queries
Kanagavalli.V.R, Raja. K

TL;DR
This paper proposes a fuzzy logic-based method to effectively interpret and retrieve spatial information from text containing vague or uncertain geographic expressions, aiming to produce accurate location maps.
Contribution
It introduces a novel fuzzy logic approach for resolving vagueness in spatial expressions within text documents for improved geographic information retrieval.
Findings
Enhanced accuracy in locating spatial expressions
Effective handling of vague geographic terms
Improved map disambiguation of spatial queries
Abstract
The arrangement of things in n-dimensional space is specified as Spatial. Spatial data consists of values that denote the location and shape of objects and areas on the earths surface. Spatial information includes facts such as location of features, the relationship of geographic features and measurements of geographic features. The spatial cognition is a primal area of study in various other fields such as Robotics, Psychology, Geosciences, Geography, Political Sciences, Geographic Economy, Environmental, Mining and Petroleum Engineering, Natural Resources, Epidemiology, Demography etc., Any text document which contains physical location specifications such as place names, geographic coordinates, landmarks, country names etc., are supposed to contain the spatial information. The spatial information may also be represented using vague or fuzzy descriptions involving linguistic terms…
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Taxonomy
TopicsData Management and Algorithms · Geographic Information Systems Studies · Constraint Satisfaction and Optimization
