Statistics – Applications
Scientific paper
Aug 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007spie.6754e...6c&link_type=abstract
Geoinformatics 2007: Geospatial Information Technology and Applications. Edited by Gong, Peng; Liu, Yongxue. Proceedings of th
Statistics
Applications
Scientific paper
For meeting the challenge of multi-scale and uncertainty of spatial data, a new theory of building Geo-ontology, which is based on Stratified Rough Sets, is put forward in this paper. The theory for building Geo-ontology based on Stratified Rough Set, called GOSR, studies the Geo-ontology from two aspects: the intension and the extension of the ontology concept.By extending the only one equivalence relation of the rough set to more than two equivalence relations, we consider a nested sequence of m equivalence relations: E1 subuline E2 subuline . . . subuline Em. In conclusion, Geo-Ontology based on Stratified Rough Sets has these characters: a series nested equivalence relation forms a granule different partial ordered lattice. An equivalence relation corresponds to a universe. The elements in the universe are the rough objects in the same spatial scale. The lowest universe is built up by the atom spatial objects. The elements in the higher universe can be built up by generalizability or combination of the lower universe. In this way, we can associate the universes of the Stratified Rough Sets with the multi-scale, uncertain spatial data. On the other hand, the equivalence classes defined by different equivalence relations correspond to different semantic granular Geo-Ontology conception, describing the semantic intension of the spatial data.
Cui Wei-Wei
Li Deren
Yan Yu
Yao Yang
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