Accessing Information in the Conceptual Hypergraph
Reference: This page is a source-based technical synthesis of the LaTeX chapter cited below. For exact syntax, availability or ABI signatures, verify the versioned source, manifest and executable tests.
Scope and source boundary
Query the Hypergraph through its semantic concepts and polyadic maps, not only by reducing it to binary graph edges.
The conceptual Hypergraph represents concepts, instances, and relations rather than a simple collection of binary edges. Its structure preserves semantic roles and supports querying conceptual compositions. Native graph construction and construction through H-Logic are different authoring surfaces for the semantic layer; the source guides distinguish them from application metadata and runtime execution objects.
Engineering rules
- Identify concept types and instances before defining relations.
- Preserve the identity and role mapping of a polyadic relation during traversal or query.
- Keep the semantic representation distinct from a visual projection or an execution cache.
- Use the source contract when choosing direct native construction or an H-Logic parser.
Chapter outline (original LaTeX headings)
- Why Hypergraph Memory Matters
- Concepts, Relations and Hyperedges
- A YAML Example: Hypergraph and Database Facets
- Hypergraph Memory and Runtime Execution
- Relation with AI and Semantic Memory
- Persistent Structural Pattern Evaluation
LaTeX provenance
Primary chapter: Declarative Conceptual Programming with the logiCells Platform/developer-guide/chapters/conceptual-graphs-and-hypergraph-memory.tex.