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一种粒化理论的地理本体融合方法 被引量:7

A Geographic Ontology Fusion Method Based on Granular Theory
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摘要 提出了一种粒化理论的地理本体融合方法。该方法首先运用形式概念分析地理本体,再引入粒计算理论,在不同粒度下约简概念格完成本体融合,认为地理融合过程是一个渐进过程。利用地理信息基础数据和水利空间数据进行融合实验,验证了此方法的有效性。 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 funda- mental geographic information data and spatial data in the hydraulic engineering domain. The results show that G-eo-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.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2013年第4期489-492,497,共5页 Geomatics and Information Science of Wuhan University
基金 国家自然科学基金资助项目(41071290 41201463) 安徽省高校省级科学研究资助项目(2010sk471)
关键词 地理本体融合 形式概念分析 粒计算 空间数据 地理信息 geographic ontology fusion formal concept analysis granular computing spatialdata geographical information
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参考文献13

  • 1Buccella A, Cechich A, Fillottrani P. Ontology- driven Geographic Information Integration: a Survey of Current Approaches[J]. Computers Geosci- ences, 2009,35 (4): 710-723.
  • 2Kokla M, Kavouras M. Fusion of Top-Level and Geographical Domain Ontologies Based on Context Formation and Complementarity [J]. International Journal of Geographical Information Science, 2001, 15(7) : 679-687.
  • 3Torres M, Quintero R, Moreno-Ibarra M, et al. GEONTO-MET: an Approach to Conceptualizing the Geographic Domain[J]. International Journal of Geographical Information Science, 2011,25 (10) 1 633-1 657.
  • 4Fonseca F, Davis C,Camara G. Bridging Ontologies and Conceptual Schemas in Geographic Information Integration[-J3. GeoInformatica, 2003,7 (4) : 355-378.
  • 5李霖,王红.基于形式化本体的基础地理信息分类[J].武汉大学学报(信息科学版),2006,31(6):523-526. 被引量:24
  • 6刘耀林,李红梅,杨淳惠.基于本体的土地利用数据综合研究[J].武汉大学学报(信息科学版),2010,35(8):883-886. 被引量:31
  • 7王晓璇,陈鹏,刘鹏,刘妙龙.基于统计式机器学习的地理本体融合模型[J].同济大学学报(自然科学版),2011,39(5):758-763. 被引量:5
  • 8Ganter B, Wille R. Formal Concept Analysis, Mathematical Foundations[M]. New York: Spring- er, 1999.
  • 9Guarino N, Welty C A. Formal Ontology of Prop- erties[C]. The 12th International Conference on Knowledge Engineering and Knowledge Manage- ment, New York, 2000.
  • 10Frank A U. Tiers of Ontology and Consistency Constraints in Geographical Information Systems [J]. International Journal of Geographical Informa- tion Science, 2001, 15(7) :667-678.

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