摘要
[目的/意义]近年来,知识图谱技术受到学术界和工业界的普遍关注。提出数据驱动的增量式知识图谱构建方法,为构建垂直知识图谱提供一种新思路。同时,通过3个用例研究提供垂直知识图谱的应用示范。[方法/过程]首先给出知识图谱的形式化定义,然后提出数据驱动的增量式知识图谱构建方法,重点研究构建垂直知识图谱数据图的细节与难点。基于该方法,本文构建了中医药知识图谱、海洋知识图谱和企业知识图谱。[结果/结论]以上垂直知识图谱的构建证实了本方法的可行性,它们各自的垂直应用体现了知识图谱的广泛应用。
[Purpose/significance] In recent years, knowledge graphs have gained wide attention from academia and industry. Knowledge graphs of different domains are widely used in query understanding, automatic question answering and document representation. [Method/process] In this paper, the construction of vertical knowledge graphs and related applications were studied. Specifically, we first gave a formal definition of knowledge graph. Then a data-driven incremental constructing method was proposed. We put emphasis on constructing a data graph of a vertical knowledge graph. Based on the proposed method, we have built Traditional Chinese Medicine Knowledge Graph, Marine-oriented Knowledge Graph and Securityoriented Knowledge Graph. [Result/conclusion] These vertical knowledge graphs illustrate the feasibility of our method and extensive usability of vertical knowledge graphs.
出处
《知识管理论坛》
2016年第3期226-234,共9页
Knowledge Management Forum
基金
国家高技术研究发展计划"心血管疾病与肿瘤疾病中西医临床大数据处理分析与应用研究"(项目编号:2015AA020107)研究成果之一
关键词
知识获取
知识融合
语义搜索
辅助开方
关系发现
knowledge graph
knowledge acquisition
knowledge fusion
semantic search
prescription assistance
relation discovery
