Construction Method of Domain Knowledge Graph Based on Big Data-driven

Ning Wang, E. Haihong, Meina Song, Y. Wang
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引用次数: 5

Abstract

Most of the published research work mainly emphasizes one aspect of knowledge graph construction in isolation and neglects the big data processing flow in this process, which lacks of value in the practical construction of knowledge graph. Therefore, the paper proposes a construction method of domain knowledge graph based on big data-driven and build an artificial intelligence domain knowledge graph to prove the feasibility of this method, which covers artificial intelligence enterprises, patents, news, technology labels and other entities.
基于大数据驱动的领域知识图谱构建方法
大部分已发表的研究工作主要是孤立地强调知识图谱构建的一个方面,而忽略了这一过程中的大数据处理流程,对知识图谱的实际构建缺乏价值。因此,本文提出了一种基于大数据驱动的领域知识图谱构建方法,并构建了一个人工智能领域知识图谱来证明该方法的可行性,该图谱涵盖了人工智能企业、专利、新闻、技术标签等实体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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