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This paper presents a task‐based and Semantic Web approach to find geospatial data. The purpose of the project is to improve data discovery and facilitate automatic retrieval of data sources. The work presented here helps create the beginnings of a Geospatial Semantic Web. The intent is to create a system that provides appropriate results to application users who search for data when facing tasks such as emergency response or planning activities. In our task‐based system, we formalize the relationships between types of tasks, including emergency response, and types of data sources needed for those tasks. Domain knowledge, including criteria describing data sources, is recorded in an ontology language. With the ontology, reasoning can be done to infer various types of information including which data sources meet specific criteria for use in particular tasks. The vision presented here is that in an emergency, for example, a user accesses a Web‐based application and selects the type of emergency and the geographic area. The application then returns the types and locations (URLs) of the specific geospatial data needed. We explore the abilities and limitations of the OWL Web Ontology Language along with other Semantic Web technologies for this purpose. 相似文献
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基于主体人与地学本体的人-地-GIS关系讨论 总被引：7，自引：4，他引：3
“人-地-GIS”关系是地理信息科学及相关研究的基础。传统的人-地-GIS双向联系模型正在向以地学本体为核心的本体中心模型演化。通过主体人与客体人的区分,探讨两者在“人-地-GIS”关系中的地位与作用,分析人-地、地-GIS与人-GIS的相关关系。通过地学本体与本体论的分析,讨论地学本体与科学本体、哲学本体论之间的关系,分析地学本体与类、元数据之间的区别与联系。进而构建以地学本体为核心的“人-地-GIS”关系新模型,该模型整体上分为认知与再现两部分,由核心的本体模型及人的认知层、GIS的模型层与“地学”现象及其关系层构成。以主体人的认知为主线,讨论该模型中各模块的功能与相互关系,指出今后的发展方向。 相似文献
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区域性／全国性的海洋环境监测系统需要集成许多已有业务化运行的海洋信息系统,并且要为成千上万的应用系统提供服务,迫切需要一个支持分布式异构环境的海洋监测信息及服务集成框架来指导系统的建设。论文提出的基于XML,Web Service,Ontology,等技术的集成框架包括集成总线及Adapter Setvice,元数据库及集成协调器与供二次开发的API及Web Service工具集。这一集成框架是开放的可扩充的,它实现了数据互操作,软件互操作与语义互操作,可以应用于大规模海洋监测系统的动态集成,并能有效利用网上丰富的涉海商业Web服务。 相似文献
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Despite advancements in geographic information system (GIS) technology, the efficient and effective utilization of GIS to solve geospatial problems is a daunting process requiring specialized knowledge and skills. Two of the most important and burdensome tasks in this process are interpretation of geospatial queries and mapping the interpreted results into geospatial data models and geoprocessing operations. With the current state of GIS, there exists a gap between the knowledge user's possess and the knowledge and skills they need to utilize GIS for solving problems. Currently, users resort to training and practice on GIS technology or involving GIS experts. Neither of these options is optimal and there is a need for a new approach that automates geoprocessing tasks using GIS technology. This paper presents an ontological engineering methodology that uses multiple ontologies and the mappings among them to automate certain tasks related to interpretation of geospatial queries and mapping the interpreted results into geospatial data models and geoprocessing operations. The presented methodology includes conceptualization of geospatial queries, knowledge representation for queries, techniques for relating elements in different ontologies, and an algorithm that uses ontologies to map queries to geoprocessing operations. 相似文献
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《Geoforum》2017
Contemporary debates around the ontological turn have pitted efforts to take indigenous ontologies seriously against demands to make visible the forms of dispossession and environmental suffering that characterize the (post)colonial and capitalist present. Meanwhile, a growing array of governmental projects seeks to identify and protect indigenous ontologies in the face of capitalist development processes, including through forms of collective tenure. How can we make sense of such initiatives, and what kind of territories do they encounter and produce? This paper engages this question ethnographically through an examination of everyday life in a legally recognized Native Community Land in the Bolivian Chaco. Drawing on Bolivian Aymara scholar Silvia Rivera Cusicanqui’s notion of ch’ixi, I argue that indigenous territories are neither ontologically separate from, nor entirely subsumed by, capitalist development processes. Rather, they are subject to multiple land values, ontologies, and investments. A contested indigenous land titling process, capitalist labor relations, hydrocarbon compensation money, and efforts to maintain relations with spirit beings are all interwoven in the fabric of Guaraní everyday life. Such ch’ixi landscapes emerge at the confluence of capitalist efforts at rendering territories investable, governmental efforts at managing dispossession, and Guaraní efforts to maintain life and exercise territorial sovereignty amidst contradictory processes of (post)colonial governmentality. 相似文献
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7.
Chuanrong Zhang Tian Zhao Weidong Li 《International Journal of Applied Earth Observation and Geoinformation》2010
Although the fast development of OGC (Open Geospatial Consortium) WFS (Web Feature Service) technologies has undoubtedly improved the sharing and synchronization of feature-level geospatial information across diverse resources, literature shows that there are still apparent limitations in the current implementation of OGC WFSs. Currently, the implementation of OGC WFSs only emphasizes syntactic data interoperability via standard interfaces and cannot resolve semantic heterogeneity problems in geospatial data sharing. To help emergency responders and disaster managers find new ways of efficiently searching for needed geospatial information at the feature level, this paper aims to propose a framework for automatic search of geospatial features using Geospatial Semantic Web technologies and natural language interfaces. We focus on two major tasks: (1) intelligent geospatial feature retrieval using Geospatial Semantic Web technologies; (2) a natural language interface to a geospatial knowledge base and web feature services over the Semantic Web. Based on the proposed framework we implemented a prototype. Results show that it is practical to directly discover desirable geospatial features from multiple semantically heterogeneous sources using Geospatial Semantic Web technologies and natural language interfaces. 相似文献
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基于OWL-S的地理信息服务描述和发现 总被引：2，自引：1，他引：1
本文建立了地理数据类型本体和地理服务类型本体,提出了基于OWL-S地理理信息服务发现方法。其核心思想是用OWL-S进行服务描述和发布,通过对服务语义描述中的输入、输出、服务分类进行分级匹配实现服务的自动发现。 相似文献
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GridGIS已成为地理空间信息资源集成共享的重要研究方向,但目前的GridGIS资源共享方案仍无法解决各领域之间的语义异构问题。文章针对这个问题,探讨了分布式本体的构建方法,并在此基础上提出了一种基于语义相似性匹配的GridGIS服务发现框架结构。 相似文献
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Manual field surveys for nature conservation management are expensive and time-consuming and could be supplemented and streamlined by using Remote Sensing (RS). RS is critical to meet requirements of existing laws such as the EU Habitats Directive (HabDir) and more importantly to meet future challenges. The full potential of RS has yet to be harnessed as different nomenclatures and procedures hinder interoperability, comparison and provenance. Therefore, automated tools are needed to use RS data to produce comparable, empirical data outputs that lend themselves to data discovery and provenance. These issues are addressed by a novel, semi-automatic ontology-based classification method that uses machine learning algorithms and Web Ontology Language (OWL) ontologies that yields traceable, interoperable and observation-based classification outputs. The method was tested on European Union Nature Information System (EUNIS) grasslands in Rheinland-Palatinate, Germany. The developed methodology is a first step in developing observation-based ontologies in the field of nature conservation. The tests show promising results for the determination of the grassland indicators wetness and alkalinity with an overall accuracy of 85% for alkalinity and 76% for wetness. 相似文献