A geographic ontology fusion method based on granular theory

A geographic ontology fusion method based on granular theory

A geographic ontology fusion method based on granular theory is presented. First, Formal concept analysis (FCA) is used to formalize different geographic domain ontologies. Then granular computing is introduced to geo-ontologies fusion to implement concept lattice reduction in different granulations...

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Veröffentlicht in:Geomatics and Information Science of Wuhan University 2013-04, Vol.38 (4), p.489-497
Hauptverfasser: Li, Junli, He, Zongyi, Zhu, Qiaoli, Liu, Yahong
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Sprache:chi ; eng
Schlagworte:
Combing
Computation
Granulation
Hydraulic engineering
Lattices
Reduction
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container_title Geomatics and Information Science of Wuhan University
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creator Li, Junli
He, Zongyi
Zhu, Qiaoli
Liu, Yahong
description A geographic ontology fusion method based on granular theory is presented. First, Formal concept analysis (FCA) is used to formalize different geographic domain ontologies. Then granular computing is introduced to geo-ontologies fusion to implement concept lattice reduction in different granulations. Finally, experiments are conducted by combing fundamental geographic information data and spatial data in the hydraulic engineering domain. The results show that Geo-ontologies fusion is a progressive process, and the proposed method is valid in multi-source Geo-ontologies fusion. As well as merits and limitations are discussed.
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subjects Combing
Computation
Granulation
Hydraulic engineering
Lattices
Reduction
title A geographic ontology fusion method based on granular theory
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