自然资源领域知识图谱构建与应用研究

Research on knowledge graph construction and application in natural resources field

自然资源领域数据种类繁多,业务复杂。大数据时代,如何从海量数据中获取有用的数据、信息与业务知识,是自然资源大数据挖掘分析的关键。本文首先从技术与业务结合的角度出发,提出自然资源领域知识图谱的构建技术框架,从知识抽取、知识融合、知识加工3个层面进行研究与阐述。其次,基于自然资源业务构建实例,验证了技术的可行性,介绍了具体的构建步骤和方法。最后,对自然资源领域知识图谱的应用服务进行探索,在知识问答、辅助决策、信息检索等服务方面进行了总结与展望。

There are many data and complex business in the field of natural resources.In the era of big data,how to obtain useful business knowledge and data information from massive data is the key of big data mining analysis of natural resources.From the perspective of combining technology and business,this paper puts forward the technical framework of constructing knowledge graph in the field of natural resources,and studies and expounds in three aspects of knowledge extraction,knowledge fusion and knowledge processing.Based on the natural resources business construction example,the feasibility of the technology is verified on one hand,and the concrete construction steps and methods are introduced on the other hand.This paper explores the application services of knowledge graph in natural resources field,including the summary and prospect of knowledge question answering,assisted decision making and information retrieval.