多源异构数据的大规模地理知识图谱构建

Geographic Knowledge Graph Building Extracted from Multi-sourced Heterogeneous Data

虚拟地理环境作为新一代的地理语言,需要通过对多源异构时空数据的分析与挖掘,构建虚拟地理环境知识工程,实现"数据—信息—知识—智慧"的转化,促进智能虚拟地理环境系统中地理知识的快速转换和融合,从而为虚拟地理环境中地理信息的智能化处理、地理知识的智慧化服务提供支撑。知识图谱是人工智能与虚拟地理环境知识工程相结合的桥梁。本文系统评述了知识图谱、地理知识图谱的研究现状,提出了地理知识图谱的构建流程,重点研究了地理知识图谱构建的关键技术,讨论和阐述了地理知识图谱的应用方向。本文的研究将有助于实现地理信息的知识化,提高虚拟地理环境系统的智能化服务水平。

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.