Astrolabe: A Content-Addressable Hypergraph for Semantic Knowledge Management
Xinze Li

TL;DR
Astrolabe is a novel content-addressable hypergraph system designed for semantic knowledge management, enabling flexible structural relationships and plugin-based interpretation.
Contribution
It introduces a content-addressable hypergraph model with flexible semantics and demonstrates its application in bridging informal and formal mathematics.
Findings
Entries are identified by SHA-256 hashes of content.
Supports arbitrary reference list widths and opaque plugin data.
Framework enables orthogonal decompositions by width and depth.
Abstract
Existing knowledge management tools either preserve prose but lose structural relationships, or capture relationships but restrict edge semantics to fixed vocabularies. We introduce Astrolabe, a content-addressable hypergraph for semantic knowledge management. Entries are identified by the SHA-256 hash of their content, carry an ordered reference list of arbitrary width, and store an opaque record string interpreted by plugins. The structure admits two orthogonal decompositions: by width and by depth. We demonstrate the framework with a plugin bridging informal and formal mathematics.
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