Titlebook: Geospatial Semantic Web; Chuanrong Zhang,Tian Zhao,Weidong Li Book 2015 Springer International Publishing Switzerland 2015 GeoSPARQL.Geopa

只看該作者 · 發(fā)表于 2025-3-23 11:09:13

Conceptual Frameworks of Geospatial Semantic Web,his chapter we introduced the main technologies used in the Geospatial Semantic Web architecture: 1) ontology, 2) semantic descriptions of geographic information by ontology, 3) ontology-based catalogue service, 4) web service discovery, and 5) web service composition.

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Ontology Data Query in Geospatial Semantic Web,ructures: R-tree, quad-tree, and kd-tree. To identify the performance bottleneck sources in GeoSPARQL implementation, we introduced a formal model for GeoSPARQL and described how a query can be decomposed into several basic components so that it can be processed more efficiently.

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Applications of Geospatial Semantic Web,s. Ontology constructs such as classes and properties can be used to map the definitions of the existing data sets to the domain and application ontologies in order to bridge the semantic gap between data sets.

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只看該作者 · 發(fā)表于 2025-3-24 17:49:58

Volunteered Geographic Information (VGI) systems and their interactions with Geospatial Semantic We, is needed to provide more utilities for VGI. The framework of an interoperable online VGI system based on Geospatial Semantic Web technologies was proposed. Some challenges or issues faced by VGI were discussed in this chapter.

只看該作者 · 發(fā)表于 2025-3-24 22:51:02

Geospatial Data Interoperability, Geography Markup Language (GML), Scalable Vector Graphics (SVG), andard data exchange format, aims to achieve the goal of data interoperability by providing mechanisms for data sharing and reuse at the feature level over the Web. While GML provides a means to encode and transport geospatial features into XML, SVG provides a means to display these GML-encoded geos

只看該作者 · 發(fā)表于 2025-3-25 02:27:30

Conceptual Frameworks of Geospatial Semantic Web,ere are limitations in currently implemented SDIs and it may still be difficult to find needed data sources from the currently implemented SDIs. The differences among the semantics used in diverse data sources represent a major problem in spatial data sharing and interoperability. Geospatial Semanti

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