[Purpose/significance] The establishment of a digital catalog is the need to protect and promote the Chinese civilization, and it also caters to the needs of new documentation and researchers. Chinese classics have been preserved throughout the ages. The construction of the knowledge graph provides a one-stop platform for researchers to dig out the hidden knowledge behind the massive bibliographic data of ancient books, which greatly enhances the knowledge service function of ancient books. The large-scale knowledge graph of ancient books is also an important foundation of machine intelligence. [Method/process] This research used knowledge graph technology to organize the knowledge of ancient Chinese classics, constructed a framework model of classics knowledge graph from three parts: demand layer, model layer, and application layer. Through man-machine collaboration, the data extraction of classics and multi-source data fusion, organize the data, analyze and define the entity types, attributes of the classic knowledge graph and the entity relationships, types of the classic knowledge graph. [Result/conclusion] It has realized the construction of the knowledge map of ancient books, including 649 549 kinds of ancient book entities, 221 783 persons in charge of ancient books, 1 498 383 versions of ancient books, 13 960 nodes of place names, and has formed a three-dimensional, multi-dimensional and multi-purpose knowledge association network of ancient books.
Ouyang Jian
,
Liang Zhufang
,
Ren Shuhuai
. Research on the Construction of Knowledge Graph of Large-scale Chinese Ancient Books[J]. Library and Information Service, 2021
, 65(5)
: 126
-135
.
DOI: 10.13266/j.issn.0252-3116.2021.05.013
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