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Since proposed by Google in 2012, knowledge graph has become the backbone of many intelligent systems, such as Apple Siri, IBM Watson and many other renowned Intelligent Natural Language Question Answering System(INLQAS). A geographic knowledge graph can be integrated into Google Maps, Baidu Maps and other similar systems to increase the intelligence of map services and achieve better performance of human-computer interaction. In this paper, The framework of a geographic knowledge graph is constructed. Based on the framework, the geographic ontology is studied first and then a geographic knowledge graph is established through processes of geographic entity and relation extraction, knowledge fusion and storage. Finally, a case study of geographic knowledge query is given to validate the effectiveness of the geographic knowledge graph.
Wei et al. (Fri,) studied this question.