互联网泛在地理信息感知融合技术综述

doi:10.11947/j.AGCS.2022.20220102

摘要/Abstract

摘要： 互联网数据中蕴含丰富的地理信息,其无处不在、形式与结构多样的特征决定了感知和融合面临许多技术难题。本文在分析互联网泛在地理信息分类和特征的基础上,系统研究其感知和融合技术的总体现状,总结了服务快速准确发现、深层网络数据高覆盖度采集、非结构化文本中位置信息提取和关联图像空间语义提取等感知技术发展现状,分析了异源几何数据匹配关联、地址标准化处理、同名实体语义对齐、地理实体关系构建等融合处理关键技术;在此基础上,总结和展望了互联网泛在地理信息感知融合技术在开放地理数据网络、城市治理与应急管理、网络监测与地理空间情报等领域的应用前景。

关键词: 互联网, 泛在地理信息, 信息感知, 数据融合

Abstract: There are many technical difficulties to discover and integrate geospatial information from web-based data considering its the ubiquitousness, diverse forms and structures. In this review, we first analyze the classification and characteristics of web-based ubiquitous geospatial information, upon which we systematically investigate the current progress of the discovery and integration technology. Here, the development status of discovery technology are summarized from four aspects of fast and accurate service discovery, deep network data collection with high coverage, location information extraction from unstructured text, and spatial semantic extraction of associated images. Subsequently, we analyze and explore the development trends of integration technology application to the matching and association of heterogeneous geometric data, address standardization, semantic alignment of homonymy entities, geographic entity relationships construction. Finally, we prospect the application of web-based ubiquitous geospatial information discovery and integration technology in many aspects such as open geospatial data network, urban governance and emergency management, network monitoring and geospatial intelligence.

Key words: web, ubiquitous geographic information, information perception, data fusion

中图分类号:

P208

刘纪平, 王勇, 胡燕祝, 罗安, 车向红, 李朋朋, 曹元晖. 互联网泛在地理信息感知融合技术综述[J]. 测绘学报, 2022, 51(7): 1618-1628.

LIU Jiping, WANG Yong, HU Yanzhu, LUO An, CHE Xianghong, LI Pengpeng, CAO Yuanhui. A review of web-based ubiquitous geospatial information discovery and integration technology[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(7): 1618-1628.

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