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Related Experiment Video

Updated: May 31, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Knowledge graph for multi-source data: optimizing the systematic layout and application of reference materials for

Bin Wang1, Yuena Jiang2, Jiangnan Wang2

  • 1National Institute of Metrology, No. 18, Bei San Huan Dong Lu, Beijing, 100029, China. wangbin@nim.ac.cn.

Analytical and Bioanalytical Chemistry
|May 29, 2026
PubMed
Summary

This study integrates fragmented data on edible agricultural products, creating a knowledge graph to improve nutrition and safety reference materials. This enhances resource utilization and supports food safety development.

Keywords:
Edible agricultural productsKnowledge graphNutrition and safetyReference materialsTechnical standards

Related Experiment Videos

Last Updated: May 31, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

Area of Science:

  • Agricultural Science
  • Food Science
  • Information Science

Background:

  • China's edible agricultural products sector faces challenges like fragmented data and poor resource integration, particularly for nutrition and safety reference materials.
  • Existing resources for reference materials are often siloed, hindering systematic research and application in food safety.
  • There is an underexplored potential in leveraging systematic resources for enhancing food safety standards.

Purpose of the Study:

  • To address the lack of structure and weak resource linkage in China's edible agricultural products sector.
  • To improve the utilization of systematic resources for nutrition and safety reference materials.
  • To build a comprehensive knowledge base by interlinking diverse data sources.

Main Methods:

  • In-depth analysis of edible agricultural product classification and nutrition/safety testing indicators.
  • Application of visualized knowledge graph technology to map and reference heterogeneous data.
  • Systematic collection, processing, and integration of massive datasets into a knowledge base.

Main Results:

  • A comprehensive knowledge graph system was constructed by interlinking reference materials, testing standards, literature, and institutions.
  • The knowledge graph system was successfully deployed online, bridging isolated data resources.
  • The platform facilitates multidimensional knowledge exploration and promotes a systematic framework for reference material research.

Conclusions:

  • The study successfully transformed fragmented data into integrated, high-quality resources for reference materials.
  • The developed knowledge graph system significantly enhances the ability to leverage aggregated resources in food safety.
  • This approach provides substantial support for the development and application of reference materials, improving food safety standards.