论文标题
数学公斤：数学知识图的构建和应用
Math-KG: Construction and Applications of Mathematical Knowledge Graph
论文作者
论文摘要
最近，在线教育平台的爆炸使我们成功地鼓励我们轻松获取在线教育资源。但是，他们中的大多数忽略了大规模的非结构化信息的集成，这不可避免地带来了\ textit {信息过载}和\ textit {知识跋涉}的问题。在本文中，我们提出了一个名为Math-kg的数学知识图，该图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。它是由维基百科的百杜·贝克（Baiadu Baike）的Corpora建造的。我们实施了一个简单的应用系统来验证所提出的数学千克可以在一系列场景上做出贡献，包括故障分析和语义搜索。该系统可在github \ footNote {\ url {https://github.com/wjn1996/mathematical-knowledge-entity-regnition}中公开获得。
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}.}.
