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:2019,28(6):1-12
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知识图谱研究综述
(1.福州大学 经济与管理学院, 福州 350108;2.广东金融学院 互联网金融与信息工程学院, 广州 510521;3.华南理工大学 工商管理学院, 广州 510641)
Review on Knowledge Graphs
(1.School of Economics and Management, Fuzhou University, Fuzhou 350108, China;2.School of Internet Fiance and Information Engineering, Guangdong University of Finance, Guangzhou 510521, China;3.School of Business Administration, South China University of Technology, Guangzhou 510641, China)
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投稿时间:2018-12-25    修订日期:2019-01-03
中文摘要: 知识图谱是以图的形式表现客观世界中的概念和实体及其之间关系的知识库,是语义搜索、智能问答、决策支持等智能服务的基础技术之一.目前,知识图谱的内涵还不够清晰;且因建档不全,已有知识图谱的使用率和重用率不高.为此,本文给出知识图谱的定义,辨析其与本体等相关概念的关系.本体是知识图谱的模式层和逻辑基础,知识图谱是本体的实例化;本体研究成果可以作为知识图谱研究的基础,促进知识图谱的更快发展和更广应用.本文罗列分析了国内外已有的主要通用知识图谱和行业知识图谱及其构建、存储及检索方法,以提高其使用率和重用率.最后指出知识图谱未来的研究方向.
Abstract:A knowledge graph is a knowledge base that represents objective concepts/entities and their relationships in the form of graph, which is one of the fundamental technologies for intelligent services such as semantic retrieval, intelligent answering, decision support, etc. Currently, the connotation of knowledge graph is not clear enough and the usage/reuse rate of existing knowledge graphs is relatively low due to lack of documentation. This paper clarifies the concept of knowledge graph through differentiating it from related concepts such as ontology in that the ontology is the schema layer and the logical basis of a knowledge graph while the knowledge graph is the instantiation of an ontology. Research results of ontologies can be used as the foundation of knowledge graph research to promote its developments and applications. Existing generic/domain knowledge graphs are briefly documented and analyzed in terms of building, storage, and retrieval methods. Moreover, future research directions are pointed out.
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基金项目:国家自然科学基金(71771054);福建省社会科学规划项目(FJ2016C044)
引用文本:
黄恒琪,于娟,廖晓,席运江.知识图谱研究综述.计算机系统应用,2019,28(6):1-12
HUANG Heng-Qi,YU Juan,LIAO Xiao,XI Yun-Jiang.Review on Knowledge Graphs.COMPUTER SYSTEMS APPLICATIONS,2019,28(6):1-12

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