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Welcome to the Chemotion Knowledge Graph (Chemotion-KG)

Introduction

The Chemotion Knowledge Graph (Chemotion-KG) provides an interconnected and structured representation of chemical research data. It enables seamless integration, discovery, and reuse of experimental data within the scientific community.

Purpose

The Chemotion Knowledge Graph (Chemotion-KG):

  • Provides structured chemical data with rich metadata.
  • Supports AI and machine learning applications in chemistry.
  • Enables FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
  • Facilitates interoperability between Chemotion ELN, repositories, and external databases.

Content

Chemotion-KG covers various aspects of chemical research:

  • Compounds & Reactions: Molecular structures, synthesis pathways, and reaction conditions.
  • Analytical Data: Spectroscopy (NMR, IR, MS) and characterization results.
  • Ontologies & Metadata: Standardized vocabularies for better data organization.
  • Research Data: Linked experimental datasets for enhanced discoverability.

Explore Chemotion-KG

Use LodLive to visualize Chemotion-KG entities:

For more details, visit the Chemotion Repository.