A fuzzy based method for classifying semantically equivalent spatial data sets in spatial database queries

Author

Vert, Gregory ; Morris, Art ; Martin, Chris

Author_Institution

Dept. of Comput. Sci., Nevada Univ., Reno, NV, USA

Volume

1

fYear

2004

fDate

27-30 June 2004

Firstpage

193

Abstract

Geographic information systems are becoming more important in decision and analysis processes. It is useful to retrieve all GIS data sets that are related to a given geographic theme. At present there are no known methods for implicitly linking data sets so that all related sets are returned for a given spatial query. A new method is being developed that employs fuzzy logic and a geometric glyph that can be applied to the automatic linking and retrieval of spatially related data sets in a query.

Keywords

fuzzy logic; fuzzy set theory; geographic information systems; geometry; visual databases; GIS data set retrieval; automatic data linking; decision process; fuzzy based method; fuzzy logic; geographic information systems; geometric glyph; semantically equivalent spatial data sets; spatial database queries; Cities and towns; Computational Intelligence Society; Decision making; Fuzzy sets; Geographic Information Systems; Geometry; Information retrieval; Joining processes; Road transportation; Spatial databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the

Print_ISBN

0-7803-8376-1

Type

conf

DOI

10.1109/NAFIPS.2004.1336275

Filename

1336275