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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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相关实验视频

Updated: Jan 16, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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基于大型语言模型自动构建的肉养殖知识图数据集.

Nan Ma1,2, Fantao Kong3,4, Jifang Liu2,4

  • 1College of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi 830052, China.

Data in brief
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概括

这项研究使用大型语言模型开发了一个全面的肉养殖知识图. 该系统整合了各种数据,以改善决策和优化智能农业的生产效率.

关键词:
肉养殖 肉养殖提取知识的提取知识.知识图表知识图表大型语言模型.

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科学领域:

  • 农业科学 农业科学
  • 人工智能的人工智能
  • 数据科学数据科学数据科学

背景情况:

  • 智能农业对于现代农业至关重要,肉养殖需要复杂的管理.
  • 现有的知识图缺乏深度来捕捉肉养殖的相互依赖性,限制了决策支持.
  • 需要一个全面的知识系统来优化肉生产效率.

研究的目的:

  • 使用大型语言建模构建高质量的肉养殖知识图.
  • 整合一个涵盖品种,环境,养和疾病预防的中国语库.
  • 加强决策和优化管理在肉养殖.

主要方法:

  • 利用文本扫描和网络爬虫来从农业文献和在线来源获取数据.
  • 采用DeepKE框架和大型语言模型 (LLM) 来提取和完善知识.
  • 在Neo4j图形数据库中存储结构化知识,以进行高效的查询和分析.

主要成果:

  • 开发了一个全面的知识图数据集,涵盖肉养殖的四个核心维度.
  • 成功集成多种数据源,通过验证确保准确性和一致性.
  • 启用数据驱动推断和视觉管理,以优化农业战略.

结论:

  • 构建的知识图为肉养殖提供了多维的见解.
  • 该系统支持视觉管理,数据驱动推断和农业战略优化.
  • 这种方法为提高 brojler养殖生产效率提供了新的方法.