Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》
Abstract： [Purpose/significance] To explore a humanistic knowledge base construction method based on word and entity retrieval and knowledge mining. [Method/process] This paper constructed the Zhou Qin Han Annals of the Zizhitongjian, achieved the automatic segmentation and part-of-speech tagging of the 68-volume 600,000-character text, manually annotated entity information such as persons, locations, GIS and time in the text, and designed the system of full-text retrieval and map visualization based on words and entities. This paper used co-occurrence information to get the relationship and travel information of the characters. By TF-IDF and time series analysis, the key periods, people and locations in history were automatically extracted and illustrated. [Result/conclusion] Depth information labeling based on words and entities is a good solution to the problems of word boundaries, same name with different person and different name with same person, and it can solid the basis for multi-studies on the knowledge mining and knowledge service of ancient books.
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