数字农科院2.0

A knowledge graph dataset for broiler farming automatically constructed based on a large language model

文献类型： 外文期刊

作者： Nan Ma;Fantao Kong;Jifang Liu;Chenyang Zhang;Chenxv Zhao;Shanshan Cao;Wei Sun

作者机构：

关键词： Broiler farming;Extraction of knowledge;Knowledge graph;Large language model

期刊名称： Data in Brief

ISSN： 2352-3409

年卷期： 2025 年 62 卷

页码：

收录情况： EI（2025版） ; ; ESCI（2025版）

摘要： With the rapid advancement of artificial intelligence, intelligent farming has become a key trend in modern agriculture. In particular, the application of intelligent systems in broiler farming is essential for enhancing production efficiency and optimizing management practices. Broiler farming is a complex process involving multiple interrelated components. However, existing knowledge graphs primarily focus on disease and prevention, making it difficult to capture the intricate interdependencies within the farming process. This limits the effectiveness of knowledge-based support in decision-making. To develop a high-quality broiler farming knowledge system, this study adopts large language modeling technology to integrate a Chinese corpus and construct a comprehensive knowledge graph dataset covering four core dimensions: broiler breeds, farming environment, feeding management, and disease prevention. The construction of the dataset involved three key stages. First, text scanning was used to extract information from farming-related literature, while web crawlers collected data from authoritative online sources. The data were then cleaned and manually validated to ensure accuracy and consistency. Second, the DeepKE knowledge extraction framework is used to automatically extract triples related to broiler farming from the text. These are then used as prompts to guide large-scale pre-trained language models (LLMs) to complete and optimize the knowledge, ultimately constructing a relatively complete knowledge graph of broiler farming. Finally, the structured knowledge was stored in a Neo4j graph database to support efficient querying and reasoning. The dataset not only provides researchers and farms with multidimensional knowledge of the broiler farming domain, but also supports visual management and analysis, enables data-driven inference through large models, and offers new approaches to optimize farming strategies and enhance production efficiency.

分类号：

  • 相关文献

[1]A Feature Engineering Method for Whole-Genome DNA Sequence with Nucleotide Resolution. Ting Wang,Yunpeng Cui,Tan Sun,Huan Li,Chao Wang,Ying Hou,Mo Wang,Li Chen,Jinming Wu. 2025

[2]Research And Construction Of Semantic R.etrieval Based On Knowledge G raph. Huang, Yongwen,Xian, Guojian,Li, Jiao,Kou, Yuantao,Kou, Yuantao. 2018

[3]Text classification on heterogeneous information network via enhanced GCN and knowledge. 李慧,,阎琰,,王烁,,刘娟,,崔运鹏. 2023

[4]A new model construction based on the knowledge graph for mining elite polyphenotype genes in crops. Dandan Zhang,Ruixue Zhao,Guojian Xian,Yuantao Kou,Weilu Ma. 2024

[5]Knowledge graph of agricultural engineering technology based on large language model. Haowen Wang,Ruixue Zhao. 2024

[6]Research and Implementation of Agronomic Entity and Attribute Extraction Based on Target Localization. Xiuming Guo,Yeping Zhu,Shijuan Li,Sheng Wu,E. Yue,Shengping Liu. 2025

[7]Crop GraphRAG: pest and disease knowledge base Q&A system for sustainable crop protection. Wu, Hao,Xie, Nengfu,Wang, Xiaoli,Fan, Jingchao,Li, Yonglei,Meng, Zhibo. 2026

[8]Relational subgraphs fused with complete subgraphs based on the knowledge graph for mining protein complexes. Ruixue Zhao,Dandan Zhang,Yuantao Kou,Guojian Xian,Xiao Yang. 2025

作者其他论文 更多>>