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Graph-Based Knowledge Representation for GIS Data
Tlaxcala, Mexico September 08-September 12
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ENC.2003.1232884Fourth Mexican International Conferen ...
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Manuel Pech Palacio, Universidad de las Am?ricas-Puebla
David Sol, Universidad de las Am?ricas-Puebla
Jes? Gonz?lez, Instituto Nacional de Astrof?sica ?ptica y Electr?nica
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 will be 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.
Citation:
Manuel Pech Palacio, David Sol, Jes? Gonz?lez, "Graph-Based Knowledge Representation for GIS Data," enc, pp.117, Fourth Mexican International Conference on Computer Science, 2003
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