Journal of Electronic Systems Yihong Ma, Qingkai Zeng, Tianwen Jiang, Liang Cai, Meng Jiang 10 3 2020 https://doi.org/10.6025/jes/2020/10/3/102-113 http://www.dline.info/jes/fulltext/v10n3/jesv10n3_3.pdf We in this work have worked for data retrieval from Chinese historiography. The main issue is the low resource of the language: deep learning requires large amounts of annotated data and becomes impracticable when such data is not available. We used the subject experts to curate a set of person entities and their profile attributes and relations from two documents. We introduce a pattern-based bootstrapping approach to extract the information with a very small number (i.e., 1 or 2) of seed patterns. The testing results show the effectiveness as well as the limitations of the iterative method.