DocumentCode
2091803
Title
Graph-based knowledge representation for GIS data
Author
Palacio, Manuel Pech ; Sol, David ; González, Jesùs
Author_Institution
Univ. de las Americas-Puebla, Puebla, Mexico
fYear
2003
fDate
8-12 Sept. 2003
Firstpage
117
Lastpage
124
Abstract
This paper presents a proposal to create a graph representation for GIS, using both spatial and non-spatial data and also including spatial relations between spatial objects. Because graphs are a powerful and flexible knowledge representation we are able to combine spatial and non-spatial data at the same time and this is one of the strengths of the proposal. We hope to apply this knowledge representation to the data mining process with GIS data including three types of spatial relations: topological, orientation and distance.
Keywords
data mining; geographic information systems; knowledge representation; spatial data structures; GIS data; data mining; graph representation; knowledge representation; nonspatial data; spatial data; Data analysis; Data mining; Explosives; Geographic Information Systems; Humans; Knowledge representation; Multidimensional systems; Proposals; Relational databases; Spatial databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science, 2003. ENC 2003. Proceedings of the Fourth Mexican International Conference on
Print_ISBN
0-7695-1915-6
Type
conf
DOI
10.1109/ENC.2003.1232884
Filename
1232884
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