Paper
26 June 2023 Research and practice on the construction of Chinese medicine knowledge intelligent question answering system based on knowledge graph
Menghan Hou, Jiangxuan Jin, Changfa Wei
Author Affiliations +
Abstract
Aiming at the problem that people are afraid to choose Chinese medicines, do not know how to choose Chinese medicines and cannot use Chinese medicines correctly because of the lack of scientific understanding of Chinese medicine, a practical intelligent question and answer system of Chinese medicine knowledge was constructed. The system provides people with reliable and convenient Chinese medicine knowledge inspection and intelligent question answering service to improve the role of Chinese medicine knowledge in safeguarding people's health. Firstly, extract and clean the Chinese medicine knowledge in Chinese medicine books, set the extracted Chinese medicine knowledge as a specific format, and build a knowledge graph. Secondly, filter the natural language question, use Aho-Corasick multi-mode matching algorithm for keywords to extract, then use the cosine similarity algorithm to calculate the similarity calculation. Finally, match the question and answer template and generate the answer. Through the system test, it is proved that the system can satisfy the needs of users to obtain reliable Chinese medicine knowledge service quickly.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Menghan Hou, Jiangxuan Jin, and Changfa Wei "Research and practice on the construction of Chinese medicine knowledge intelligent question answering system based on knowledge graph", Proc. SPIE 12721, Second International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 127210R (26 June 2023); https://doi.org/10.1117/12.2683542
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KEYWORDS
Medicine

Intelligence systems

Databases

Data acquisition

Navigation systems

Visualization

Associative arrays

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