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Math-KG: Construction and Applications of Mathematical Knowledge Graph
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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}.}.
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Cited by 1 Pith paper
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AutoMathKG: The automated mathematical knowledge graph based on LLM and vector database
AutoMathKG constructs and auto-updates a natural-language mathematical knowledge graph using LLM augmentation, SBERT vector search, and a LoRA-tuned math reasoning model.
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