Recently, the explosion of online education platforms makes a success in encouraging us to easily access online education resources. However, most of them ignore the integration of massive unstructured information, which inevitably brings the problem of \textit{information overload} and \textit{knowledge trek}. In this paper, we proposed a mathematical knowledge graph named Math-KG, which automatically constructed by the pipeline method with the natural language processing technology to integrate the resources of the mathematics. It is built from the corpora of Baidu Baike, Wikipedia. We implement a simple application system to validate the proposed Math-KG can make contributions on a series of scenes, including faults analysis and semantic search. The system is publicly available at GitHub \footnote{\url{https://github.com/wjn1996/Mathematical-Knowledge-Entity-Recognition}.}.

翻译：最近,在线教育平台的爆炸成功地鼓励了我们方便地获取在线教育资源。 然而,其中多数平台忽视了大规模非结构化信息的整合,这不可避免地带来了\ textit{ 信息超载} 和\ textit{ 知识列车问题。 在本文中,我们提出了一个数学知识图,名为 Math-KG, 由管道方法与自然语言处理技术自动构建, 以整合数学资源。 它建于维基百科Baidu Baike公司。 我们实施了一个简单的应用系统来验证拟议的数学- KG, 可以在一系列场景上做出贡献, 包括错误分析和语义搜索。 该系统在 GitHub \ footounte {https://github.com/wjn1996/Mathematical- knewledge- Enity-Reconition} 。