Knowledge Graph Insights

Rebecca Schneider: Knowledge Graphs and Enterprise Content Strategy – Episode 25

Mar 5, 2025
Rebecca Schneider, Co-founder of AvenueCX, dives into the intersection of library science and modern content strategy. She uncovers how traditional skills like taxonomy and metadata are invaluable in today’s AI landscape. Schneider stresses the importance of user-centered approaches in organizing information while discussing how structured content enhances both human and AI discovery. She highlights the synergy between domain modeling and content strategy, advocating for a tech-agnostic approach in navigating the complexities of knowledge graphs and efficient content management.
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ADVICE

Data Cleanup

  • Clean up your data and content before implementing LLMs.
  • This creates a solid foundation for AI applications.
INSIGHT

Semantic Spectrum

  • The semantic spectrum ranges from simple controlled vocabularies to complex ontologies.
  • A well-structured taxonomy can often suffice, negating the need for a full ontology.
ADVICE

The Librarian Mindset

  • Embrace the organizational mindset of a librarian.
  • A natural inclination for organization and a service mentality are key for knowledge graph work.
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