共查询到18条相似文献，搜索用时 203 毫秒
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为了解决土地利用信息领域由认知差异和语义描述引起的歧义,本文以本体为理论基础,建立了土地利用信息本体逻辑结构,同时以广西临桂新区"智慧城市"建设中的土地利用信息为载体构建土地利用信息领域本体,对该领域的各类本体进行语义形式化表达,实现了语义互操作。最后用Oracle Spatial对信息本体进行组织存储,为土地资源信息的无缝共享提供了借鉴。 相似文献
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针对基于分层、基于地理特征和元数据技术在地理信息组织方面的不足,利用地理本体的思想和方法对机场进行认知表达。研究构建了机场地理本体概念模型,根据概念模型和已有异构地理信息之间的映射关系,建立了基于地理本体的机场地理信息数据库。最后以某机场为例,对该机场地理信息进行了有效组织。结果表明,该方法能够消除不同领域用户对信息理解的异议,有利于机场地理信息的语义共享和互操作。 相似文献
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应用描述词汇约简的OGC地理信息服务演绎推理 总被引：1，自引：1，他引：0
针对OGC地理信息服务在地理空间知识的有效组织和表达方面的能力比较弱,缺乏对服务信息的描述,数据丰富而知识缺乏,致使已有的数据在知识的表示和检索上存在缺陷,通过引入地理本体,按照基础地理信息要素分类,对地理信息服务的关键描述词汇进行提取,构建了地理信息服务本体库和实例数据库,应用粗糙集理论建立关键描述词汇约简模型,基于该模型实现了对地理信息服务实例数据库进行知识约简,形成最优实例数据库。最后应用地理信息服务本体库和实例数据库,基于演绎推理模型开发实例原型系统,实现了对地理信息服务对象的语义检索和推理,并通过试验从查全率和查准率两个指标验证了该方法的可行性、有效性和准确性。 相似文献
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地理信息分类是地图学的核心内容.随着泛在信息社会的来临,地理信息逐渐呈现时空泛在的新质特征,传统地理信息分类模型面临新的挑战.本文以泛在地图信息为研究对象,面向位置聚合应用需求,提出由"实例层→特征层?维度层?主题层"4个层次构成的信息分类模型.本文设计了一种泛在地图信息分类建模的验证方法,通过基于特征系统和信息维度的泛在地图主题特征标注,实现泛在地图信息在向量空间统一表达,并结合层次聚类算法生成泛在地图信息分类分级体系.通过气象主题分类试验对分类模型的可行性进行了验证.该分类模型本质上是一种认知规律约束下数据驱动的分类分级体系自动建模,特征层的扩展改变了传统地理信息分类模型的"实例→维度?主题"结构,使得泛在地图信息分类在保持层级化认知结构的同时,具备细粒度语义描述能力. 相似文献
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Using Ontologies for Integrated Geographic Information Systems 总被引：13，自引：0，他引：13
Frederico T. Fonseca Max J. Egenhofer Peggy Agouris & Gilberto Câmara 《Transactions in GIS》2002,6(3):231-257
Today, there is a huge amount of data gathered about the Earth, not only from new spatial information systems, but also from new and more sophisticated data collection technologies. This scenario leads to a number of interesting research challenges, such as how to integrate geographic information of different kinds. The basic motivation of this paper is to introduce a GIS architecture that can enable geographic information integration in a seamless and flexible way based on its semantic value and regardless of its representation. The proposed solution is an ontology-driven geographic information system that acts as a system integrator. In this system, an ontology is a component, such as the database, cooperating to fulfill the system's objectives. By browsing through ontologies the users can be provided with information about the embedded knowledge of the system. Special emphasis is given to the case of remote sensing systems and geographic information systems. The levels of ontologies can be used to guide processes for the extraction of more general or more detailed information. The use of multiple ontologies allows the extraction of information in different stages of classification. The semantic integration of aerial images and GIS is a crucial step towards better geospatial modeling. 相似文献
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A Parameterized Representation of Uncertain Conceptual Spaces 总被引：3，自引：0，他引：3
Ola Ahlqvist 《Transactions in GIS》2004,8(4):493-514
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基于本体协同的空间信息互操作方法 总被引：7，自引：1，他引：7
提出了基于标准空间信息本体和混合结构语义本体协同的地理信息系统互操作，通过本体的协同实现基于标准空间本体的异构空间信息互通和基于异构语义本体分级匹配的空间信息重分类及语义互操作。 相似文献
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Damien Arvor Mariana Belgiu Zoe Falomir Isabelle Mougenot Laurent Durieux 《地理信息系统科学与遥感》2019,56(6):911-939
The development of new sensors and easier access to remote sensing data are significantly transforming both the theory and practice of remote sensing. Although data-driven approaches based on innovative algorithms and enhanced computing capacities are gaining importance to process big Earth Observation data, the development of knowledge-driven approaches is still considered by the remote sensing community to be one of the most important directions of their research. In this context, the future of remote sensing science should be supported by knowledge representation techniques such as ontologies. However, ontology-based remote sensing applications still have difficulty capturing the attention of remote sensing experts. This is mainly because of the gap between remote sensing experts’ expectations of ontologies and their real possible contribution to remote sensing. This paper provides insights to help reduce this gap. To this end, the conceptual limitations of the knowledge-driven approaches currently used in remote sensing science are clarified first. Then, the different modes of definition of geographic concepts, their duality, vagueness and ambiguity, and the sensory and semantic gaps are discussed in order to explain why ontologies can help address these limitations. In particular, this paper focuses on the capacity of ontologies to represent both symbolic and numeric knowledge, to reason based on cognitive semantics and to share knowledge on the interpretation of remote sensing images. Finally, a few recommendations are provided for remote sensing experts to comprehend the advantages of ontologies in interpreting satellite images. 相似文献
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The dynamics of the earth and its inhabitants have become a core topic and focus in research in the spatial sciences. The spatio-temporal data avalanche challenges researchers to provide efficient and effective means to process spatio-temporal data. It is of vital importance to develop mechanisms that allow for the transition of data not only into information but also into knowledge. Knowledge representation techniques from artificial intelligence play an important role in laying the foundations for theories dealing with spatio-temporal data. Specifically, the advances in the area of qualitative spatial representation and reasoning (QSTR) have led to promising results. Categorical distinctions of spatio-temporal information identified by QSTR calculi potentially correspond to those relevant to humans. This article presents the first behavioral evaluation of qualitative calculi modeling geographic events associated with scaling deformations of entities, that is, changes in size by either expansion or contraction. Examples of such dynamics include a lake flooding its surroundings or an expanding oil spill in the ocean. We compare four experiments using four different semantic domains. Each domain consists of two spatially extended entities: one entity is undergoing scaling deformations while the other is static. We kept the formal QSTR characterization, which are paths through a topologically defined conceptual neighborhood graph, identical across all semantic domains. Our results show that for geographic events associated with scaling deformations (a) topological relations are not equally salient cognitively; (b) domain semantics has an influence on the conceptual salience of topological relations. 相似文献
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Angela Schwering 《Transactions in GIS》2008,12(1):5-29
Semantic similarity is central for the functioning of semantically enabled processing of geospatial data. It is used to measure the degree of potential semantic interoperability between data or different geographic information systems (GIS). Similarity is essential for dealing with vague data queries, vague concepts or natural language and is the basis for semantic information retrieval and integration. The choice of similarity measurement influences strongly the conceptual design and the functionality of a GIS. The goal of this article is to provide a survey presentation on theories of semantic similarity measurement and review how these approaches – originally developed as psychological models to explain human similarity judgment – can be used in geographic information science. According to their knowledge representation and notion of similarity we classify existing similarity measures in geometric, feature, network, alignment and transformational models. The article reviews each of these models and outlines its notion of similarity and metric properties. Afterwards, we evaluate the semantic similarity models with respect to the requirements for semantic similarity measurement between geospatial data. The article concludes by comparing the similarity measures and giving general advice how to choose an appropriate semantic similarity measure. Advantages and disadvantages point to their suitability for different tasks. 相似文献
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本文提出一种基于Head-Tail信息量分割的地理要素多尺度表达模型。首先通过傅里叶变换将地理线要素转换为傅里叶描述子,并通过香农信息熵理论计算其频域信息量。然后,按Head-Tail数据分布模式确定地理要素信息量的分界点,并设计函数对各个分界点所对应的傅里叶截断频率进行估计。最后,参考传统方根模型,建立以地理要素频率信息量为基础的信息方根模型,计算与各个地图层次相对应的关键尺度,实现地理要素的层次化多尺度表达。采用等高线及海岸线的数据试验表明,本文所提出的模型能够有效根据设定的比例尺对地理要素进行化简,对不同目标比例尺的简化结果体现出了良好的区分度与层次性。同时,在保证化简结果与原地理要素面积重叠比一致的情况下,本文模型所得到的结果优于传统的简化算法。 相似文献