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GML, a geographic information coding standard, has been widely used in WebGIS, heterogeneous GIS data sharing, integration, and interoperation. However, its features of large amount of redundancy inherited from XML file structure and geographic information system make a serious obstacle in WebGIS applications. According to the characteristics of GML, a data stream-based compression algorithm GDSC...
XML (Extensible Markup Language) describes the particular structural relationship between nodes, XML encoding scheme is to assign the unique number to each node, and realizes fast operation through the numbered structure reflecting the structure of nodes. With the expanding application fields of XML, the characteristics of each area should be reflected in the encoding process of XML. This paper analyzes...
Geography Markup Language (GML) has become a de facto international encoding standard for exchanging geospatial data among heterogeneous Geographic Information Systems (GIS). Whereas, structurally redundant tags and textual data representation usually inflate the sizes of GML documents substantially, which makes the storage and transport costly. In this paper, we propose an effective compression approach...
Currently OGC GML (Geography Markup Language) specification has been the in fact standard of GIS data sharing and exchanging, and spatial interoperation. Adopting nested association expression approach of XML data, GML data documents store both spatial information and semantic relationship information of geographical elements. In order to improve the efficient of path query on GML two type information,...
At present, GML data compression is a hotspot in the fields of geographic information sharing, interoperability. Based on the analysis of characteristics of traditional GML data compression methods, the paper proposed a GML compressor with holistic isomorphic characteristics, which achieves semantic isomorphic compression by constructing index encodings of feature elementspsila tags and achieves spatial...
Sensor networks can be used to sense, collect and process information of monitored objects and transfer the information to users. It has been applied in many domains, such as military, environment observation, calamity forecasting, geo-spatial explore. A sensor Web refers to web accessible sensor networks and archived sensor data that can be discovered and accessed using standard protocols and application...
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