Journal of Geo-information Science ›› 2017, Vol. 19 ›› Issue (6): 723-734.doi: 10.3724/SP.J.1047.2017.00723

• Orginal Article •     Next Articles

On Geographic Knowledge Graph

LU Feng1,*(), YU Li1,2, QIU Peiyuan1   

  1. 1. State Key Lab of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research,Beijing 100101, China
    2. National Science Library, Chinese Academy of Sciences, Beijing 100190, China
  • Received:2017-04-28 Revised:2017-05-25 Online:2017-06-20 Published:2017-06-20
  • Contact: LU Feng E-mail:luf@lreis.ac.cn

Abstract:

Web texts contain a great deal of implicit geospatial information, which provide great potential for the geographic knowledge acquisition and service. Geographic knowledge graph is the key to extend traditional geographic information service to geographic knowledge service, and also the ultimate goal of the collection and processing of implicit geographic information from web texts. This paper systematically reviews the state of the arts of the researches on open geographic semantic web, geographic entity and relation extraction, geographic semantic web alignment, and knowledge graph storage methods. The pressing key scientific issues are also addressed, including the quality evaluation of geospatial information collected from web texts, geographic semantic understanding, spatial semantic computing model, and heterogeneous geographic semantic web alignment.

Key words: Semantic web, Knowledge graph, Natural language processing, Geographic information retrieval