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随着地理数据深度、广度和复杂度的不断增加,如何集成这些在结构、语法及语义上高度异质性的需求越来越迫切。尽管XML在一定程度上解决了结构异质性问题,OGC标准规范解决了语法异质性问题,但语义异质性问题仍然成为分布式环境下地理空间数据集成与互操作的最大障碍。本文提出了一种基于本体的网络地理空间数据集成方法:以本体思想对数据进行语义组织;结合OGC网络服务标准规范对数据进行服务语义发布;利用支持双向映射的混合本体模式来解决全局本体与各应用本体之间的冲突,实现数据的语义集成。通过海洋海岸带土地利用数据集成试验表明,本文方法不仅能够克服数据间语义异质性问题,并在很大程度上屏蔽了数据底层集成的复杂环节,使得数据集成过程简单、高效。 相似文献
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在因特网环境下,如何对服务描述是基于web服务的应用集成的关键问题之一。Web服务合成技术为这一问题提供了很好的解决方案。以基于语义的web服务合成理论为基础,在分析制造业信息资源特点的基础之上,以库存管理领域为应用实例,选取面向服务的网络本体语言提出了制造业web服务合成语义描述的一种方法。 相似文献
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Argyros Argyridis Demetre Argialas 《International journal of geographical information science》2013,27(11):2153-2169
ABSTRACTCoastal mapping provides information for coastal zone protection. Land foreshore-border mapping is important, since it is related to land and property management, raising the need for an automated foreshore delineation framework. This research develops a multi-scale GEographic Object-Based Image Analysis method for foreshore identification from single-date very high-resolution imagery and DTM. Foreshore interpretation criteria were provided by the Greek Cadastral Office; however, they defined the foreshore-borders in an ill-defined manner. Thus, an ontology was designed and implemented to formalize the implicit spectral, geometric, and spatial relationships described in the interpretation criteria, and employ them during identification. The final ontology was delivered after three design phases: specification, conceptualization, and knowledge formalization. Imagery preprocessing through anisotropic morphological levelings reduced undesired spatial detail and noise. A three-level segmentation and ontological classification approach was developed to compute proper objects and assign them into semantic categories. Class definitions were created through fuzzy restrictions, representing value ranges of the employed properties. Evaluation of the extracted foreshore area with human-interpreted reference data showed a 77.9% quality, which was satisfactory. Evaluation by comparing the extracted foreshore border to the reference data showed an average deviation of 2.4 m, which is within Greek Cadastral Office specifications. 相似文献
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《International Journal of Digital Earth》2013,6(3):259-278
Abstract This paper introduces a new concept, distributed geospatial information processing (DGIP), which refers to the process of geospatial information residing on computers geographically dispersed and connected through computer networks, and the contribution of DGIP to Digital Earth (DE). The DGIP plays a critical role in integrating the widely distributed geospatial resources to support the DE envisioned to utilise a wide variety of information. This paper addresses this role from three different aspects: 1) sharing Earth data, information, and services through geospatial interoperability supported by standardisation of contents and interfaces; 2) sharing computing and software resources through a GeoCyberinfrastructure supported by DGIP middleware; and 3) sharing knowledge within and across domains through ontology and semantic searches. Observing the long-term process for the research and development of an operational DE, we discuss and expect some practical contributions of the DGIP to the DE. 相似文献
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针对规划公示信息的多层次公众认知需求,利用本体思想解析土地利用规划信息,构建有向图为框架的信息重构模型;设计模型要素的关系数据结构,实现基于图遍历的信息检索与语义表达算法。以海南省昌江黎族自治县土地利用总体规划成果(2006~2020年)为实例,验证了模型的有效性。 相似文献