Industry knowledge base construction based on knowledge graph
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摘要: 首先阐述了机器学习和知识图谱的相关概念以及在行业知识库建设中的应用情况和地位，然后结合典型算法介绍了机器学习常见的模型，为提高行业知识库中知识的关联性并降低冗余性，引入了行业知识图谱及其构建相关的新技术方法，进而引出了对于行业知识库构建方法的研究，结合智能知识库展示了知识图谱的创新性应用，即利用知识图谱为知识库的搜索和推荐功能提供技术支持，同时通过知识图谱对领域知识进行更加直观地展示。最后，结合行业知识库的建设工作对机器学习和知识图谱在其中的作用发挥进行了更深一步的阐述和总结。Abstract: This paper firstly expounds the related concepts of machine learning and knowledge map, and their applications in the construction of knowledge base and the positions in the industry. Then introduces the common model of machine learning combined with the typical algorithm. To increase the relevance of industry knowledge in the knowledge base and reduce the redundancy, this paper introduces a new technology related industry knowledge map and its construction method, thus led to the study of the method of building knowledge base for industry, and combined with intelligent knowledge base shows the innovative application of knowledge map, using the knowledge map to provide technical support for the search and recommendation feature of the knowledge base, at the same time through knowledge map shown more visually for the domain knowledge. Finally, this paper further describe the role of machine learning and knowledge map play in industry knowledge.
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Key words:
- knowledge map /
- machine learning /
- deep learning /
- natural language processing /
- knowledge base
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表 1 Bert和Ernie在测试集上的表现
模型/指标 precision recall f1 Bert 0.918 069 0.928 892 0.928 892 Ernie 0.940 827 0.949 102 0.944 946 
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