WCSE 2024 ISBN: 978-981-94-1156-6
DOI: 10.18178/wcse.2024.06.019

Research on the Construction of Knowledge Graph of Strawberry Diseases and Pests

Long Zhao, Yin Xu, Yanyan Wang, Fei Li, Qiangzhong Feng

Abstract— To solve the problems that existing knowledge graph extraction methods in the field of pests and diseases require a large amount of annotated data, and the trained model has limited scalability and versatility, this paper proposes an unsupervised graph data extraction paradigm based on the Universal Information Extraction (UIE) model. According to the characteristics of the pest and disease corpus, the data processing mode is designed, while the relationship and attribute types are predefined. UIE model is used for extracting tail entities. And the attribute values are matched for content based on semantic similarity. By fusing multisource information, a strawberry pest and disease knowledge graph is constructed. A total of 427,304 triples are extracted in this study, and the F1-score of the extraction results reached 87.2%. Compared with the existing methods, the granularity of extraction is more detailed, with strong scalability, and there is no need to consume resources for additional data annotation. The knowledge graph constructed by this research can subsequently provide a high-quality knowledge base for strawberry disease and pest knowledge question and answer systems, intelligent recommendation systems and other downstream applications.

Index Terms— Knowledge graph, knowledge extraction, strawberry disease and pest, information extraction

Long Zhao
University of Science and Technology of China, CHINA
GuoChuang Cloud Technology Ltd, CHINA
Yin Xu
GuoChuang Cloud Technology Ltd, CHINA
Yanyan Wang
GuoChuang Cloud Technology Ltd, CHINA
Fei Li
University of Science and Technology of China, CHINA
GuoChuang Cloud Technology Ltd, CHINA
Qiangzhong Feng
GuoChuang Cloud Technology Ltd, CHINA

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Cite: Long Zhao, Yin Xu, Yanyan Wang, Fei Li, Qiangzhong Feng, "Research on the Construction of Knowledge Graph of Strawberry Diseases and Pests," 2024 The 14th International Workshop on Computer Science and Engineering (WCSE 2024), pp. 127-132, Phuket Island, Thailand, June 19-21, 2024.