  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}.}.
