The geo-ontology based on stratified rough sets

Wei Cui; Yang Yao; Yan Yu; Deren Li

doi:10.1117/12.764581

7 August 2007 The geo-ontology based on stratified rough sets

Wei Cui, Yang Yao, Yan Yu, Deren Li

Proceedings Volume 6754, Geoinformatics 2007: Geospatial Information Technology and Applications; 675406 (2007) https://doi.org/10.1117/12.764581
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

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.

Citation Download Citation

Wei Cui, Yang Yao, Yan Yu, and Deren Li "The geo-ontology based on stratified rough sets", Proc. SPIE 6754, Geoinformatics 2007: Geospatial Information Technology and Applications, 675406 (7 August 2007); https://doi.org/10.1117/12.764581

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