[Purpose/significance] It is very helpful to build semantic ontology of Chinese ancient books for texting mining and text analysis of China history. However, there are lots of differences between ancient and modern Chinese in syntactic structure. The difference makes a lot of difficulties in Ontology Building of Chinese ancient books. [Method/process] This paper focused on ontology building methods of ancient Chinese books based on Natural language processing (NLP) technique. We designed the ontology model based on CIDOC CRM which is an international standard for the description of cultural heritages. Then we gave a solution to extract instances of the ontology automatically which is a hybrid method of regulation extraction and CRFs recognition based on the syntactic structure of Chinese ancient books. At last, we did an examination using one of Chinese ancient books called Zuo Zhuan. [Result/conclusion] The experiment results show that our method can improve the extraction precision of Ontology instances, which can enhance the efficiency of ontology construction from Chinese ancient books. This paper got 93% F-score on the testing of regular-based method, and 82.51% F-score on CRFs method using the best feature template. It also finds that it is important to use the characters of the position and part-of-speech of words to enhance the extraction of ontology instances in our methods.
He Lin
,
Chen Yaling
,
Sun Kedi
. Research on Ontology Building Methods of Chinese Ancient Books[J]. Library and Information Service, 2020
, 64(7)
: 13
-19
.
DOI: 10.13266/j.issn.0252-3116.2020.07.002
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