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Reseach Article

A Fuzzy Logic based Method for Efficient Retrieval of Vague and Uncertain Spatial Expressions in Text Exploiting the Granulation of the Spatial Event Queries

Published on February 2013 by V. R. Kanagavalli, K. Raja
National Conference on Future Computing 2013
Foundation of Computer Science USA
NCFC - Number 1
February 2013
Authors: V. R. Kanagavalli, K. Raja
6a13fb97-11d2-4fe6-8f2c-c6d12efb0aa9

V. R. Kanagavalli, K. Raja . A Fuzzy Logic based Method for Efficient Retrieval of Vague and Uncertain Spatial Expressions in Text Exploiting the Granulation of the Spatial Event Queries. National Conference on Future Computing 2013. NCFC, 1 (February 2013), 19-25.

@article{
author = { V. R. Kanagavalli, K. Raja },
title = { A Fuzzy Logic based Method for Efficient Retrieval of Vague and Uncertain Spatial Expressions in Text Exploiting the Granulation of the Spatial Event Queries },
journal = { National Conference on Future Computing 2013 },
issue_date = { February 2013 },
volume = { NCFC },
number = { 1 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 19-25 },
numpages = 7,
url = { /proceedings/ncfc/number1/10404-1005/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Future Computing 2013
%A V. R. Kanagavalli
%A K. Raja
%T A Fuzzy Logic based Method for Efficient Retrieval of Vague and Uncertain Spatial Expressions in Text Exploiting the Granulation of the Spatial Event Queries
%J National Conference on Future Computing 2013
%@ 0975-8887
%V NCFC
%N 1
%P 19-25
%D 2013
%I International Journal of Computer Applications
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 earth's 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 such as near to, far from, to the east of, very close. Given a query involving events, the aim of this ongoing research work is to extract the relevant information from multiple text documents, resolve the uncertainty and vagueness and translate them in to locations in a map. The input to the system would be a text Corpus and a Spatial Query event. The output of the system is a map showing the most possible, disambiguated location of the event queried. The author proposes Fuzzy Logic Techniques for resolving the uncertainty in the spatial expressions.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Granulation Possibility Distribution Function Spatial Event Queries