This category is for discussions around how information is structured, linked, and validated within the Intuition network — the foundation of its shared, verifiable knowledge layer.
It’s where contributors, engineers, and curators collaborate to evolve how data becomes meaningful, contextual, and trustworthy.
What this category is for
Use this space to:
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Discuss best practices for graph design, data modeling, and triple structures
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Collaborate on curation standards and metadata schemas
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Explore ontologies, entity linking, and semantic enrichment methods
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Propose improvements to graph indexing, retrieval, or ranking mechanisms
What belongs here
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Proposals or experiments in graph optimization and semantic structuring
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Conversations on alignment between curators, AI agents, and human validators
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Schema definitions, data validation pipelines, or ontology improvements
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Research or benchmarks related to knowledge graph performance and interoperability
Why this category matters
The knowledge graph is the living memory of Intuition.
By curating, linking, and refining data together, we ensure that trust, provenance, and meaning remain verifiable — forming the backbone of the emerging InfoFi economy.