Geographic Knowledge Graph Building Extracted from Multi-sourced Heterogeneous Data

doi:10.11947/j.AGCS.2018.20180113

Abstract

Abstract: As a new generation of geographic language,virtual geographic environments(VGE) needs to construct the virtual geographic knowledge engineering through the analysis and excavation of multi-sourced heterogeneous spatio-temporal data.Through the transformation about "data-information-knowledge-wisdom",it can promote the rapid conversion and integration of geographic knowledge for intelligent VGE system,which may provide a theoretical and technical support for intelligent processing of geographic information and intelligent service of geographic knowledge.Knowledge graph plays the role of a bridge between artificial intelligence and knowledge engineering for VGE system.This paper firstly reviewed the research status in knowledge graph and geographic knowledge graph from the domestic and abroad perspectives.Then,the construction process of geographic knowledge graph is proposed.Furthermore,the key technologies of geographic knowledge graph are discussed in depth.Finally,the application direction of geographic knowledge graph is discussed and stated.The study of geographic knowledge graph in this paper may help to realize the knowledgization of geographic information and promote the intelligent service level for VGE system.

Key words: virtual geographic environments, geographic knowledge, knowledge graph, geographic knowledge graph

CLC Number:

P208

JIANG Bingchuan, WAN Gang, XU Jian, LI Feng, WEN Huiqi. Geographic Knowledge Graph Building Extracted from Multi-sourced Heterogeneous Data[J]. Acta Geodaetica et Cartographica Sinica, 2018, 47(8): 1051-1061.

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