论地理知识图谱

发布时间：2018-05-02 11:07

本文选题：语义网 + 知识图谱　；参考：《地球信息科学学报》2017年06期

【摘要】：网络文本蕴含大量隐式地理空间信息,为地理知识获取与知识服务提供了巨大潜能。地理知识图谱是将传统地理信息服务拓展到地理知识服务的关键,也是网络文本蕴含地理信息采集与处理的终极目标。本文系统评述了开放地理语义网、开放地理实体及关系抽取、地理语义网对齐、知识图谱存储方法等地理知识图谱相关主题的研究进展,从网络文本蕴含地理空间信息量与质量评价、地理信息语义理解、空间语义计算模型和异构地理语义网对齐等方面剖析了目前亟需解决的关键科学问题。
[Abstract]:Network text contains a large amount of implicit geospatial information, which provides great potential for geo-knowledge acquisition and knowledge service. Geographic knowledge map is the key to extend traditional geographic information service to geographical knowledge service, and it is also the ultimate goal of the collection and processing of geographical information implied by network text. This paper systematically reviews the research progress of geographic knowledge map related topics, such as open geographic semantic web, open geographic entity and relation extraction, geographic semantic network alignment, knowledge map storage method, etc. The key scientific problems that need to be solved are analyzed from the aspects of the evaluation of the amount and quality of geographical spatial information contained in the network text, the semantic understanding of geographical information, the spatial semantic computing model and the alignment of heterogeneous geographical semantic networks.
【作者单位】：中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室;中国科学院文献情报中心;
【基金】：国家自然科学重点基金项目(41631177) 中国科学院重点部署项目(ZDRW-ZS-2016-6-3)
【分类号】：TP391.1

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