期刊文献+

基于对象-事件-过程的时空数据模型及其应用 被引量:17

Object-Event-Process-Based Spatiotemporal Data Model and Its Application into Sea-Ice Dynamics
下载PDF
导出
摘要 根据地理本体思想,提出和构建了基于对象-事件-过程的面向对象的时空数据模型。该模型基于3个基本地理实体类型:地理对象、地理事件和地理过程,三者基于地理本体的特性,本体化地表达和概括了地理现象和事物。该模型能有效地描述和表达复杂的地理动态现象和事物,能增强性的探讨和表征地理现象发生和发展的内在关联。甚者,鉴于描述和表达三者的侧重点不同,该模型可灵动性地整合或拆分成其它时空数据模型,不失为一种通用的时空数据模型。最后,以动态变化的海冰为例,验证了模型的可行性和有效性。 Based on the characteristics of the ontology, this paper discussed the construction of a modeling approach for dynamic geospatial domains based on the concepts of geo-objects, geo-events and geo-processes, which is called OEP (Object-Event- Process)-based spatiotemporal data model. The OEP-based model can effectively describe and represent the complex dynamic geographical phenomena. This model can also enhance the exploration and characterization of geographical phenomena associated with the occurrence and development of internal evolution. More importantly, given the different emphases on the geo-objects, geo-event and geo-processes,the model can integrate or be split into other spatiotemporal data models, so that it can be assumed as a unified spatiotemporal data model. Finally, this model can be applied to model the sea-ice dynamics, and validate itself feasi- bility and effectiveness.
出处 《地理与地理信息科学》 CSCD 北大核心 2013年第3期10-16,共7页 Geography and Geo-Information Science
基金 湖南省自然科学基金资助项目(12JJB005)
关键词 地理对象 地理事件 地理过程 时空数据模型 海冰动态变化 geo-objects geo-events geo-processes spatiotemporal data model sea-ice dynamics
  • 相关文献

参考文献24

  • 1陈新保,Songnian Li,朱建军,陈建群.时空数据模型综述[J].地理科学进展,2009,28(1):9-17. 被引量:22
  • 2PEI.EKIS N, BABIS T, IOANNIS K, et al. Literature review of spatiotemporal database models[J]. The Knowledge Engineer- ing Review, 2004,19(3) :235-274.
  • 3陈建军,周成虎,王敬贵.地理本体的研究进展与分析[J].地学前缘,2006,13(3):81-90. 被引量:63
  • 4孙敏,陈秀万,张飞舟.地理信息本体论[J].地理与地理信息科学,2004,20(3):6-11. 被引量:54
  • 5GUARINO N. Formal ontology and information systems[A]. GUARINO N. Formal Ontology in Information Systems[C]. Proceedings of FOIS'98, 1998. 3-17.
  • 6舒红,陈军,杜道生,周勇前.面向对象的时空数据模型[J].武汉测绘科技大学学报,1997,22(3):229-233. 被引量:88
  • 7RE1TSMA F E. A new geographic process data model[D]. Uni- versity of Maryland, 2004.
  • 8GALTON1 A,WORBOYS M. Processes and events in dynamic geo-networks[A]. RODR IGUEZ M A. GeoS 2005, LNCS 3799 [C]. 2005.45-59.
  • 9KANEIWA1 K,IWAZUME1 M,FUKUDA K. An upper ontol- ogy for event classifications and relations[A]. ORGUN M A, THORNTON J. AI 2007, LNAI 4830[C]. 2007. 394-403.
  • 10WORBOYS M, HORNSBY K. From objects to events: GEM, the Geospatial Event Model[A]. EGENHOFER M J, FREK- SAC, MILLER H J. GIScience 2004, LNCS 3234[C]. 2004. 327-343.

二级参考文献152

共引文献237

同被引文献215

引证文献17

二级引证文献72

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部