Multi-Dimensional Information Indexing
Multi-Dimensional Information Indexing A Framework for Context-Preserving Knowledge Management Traditional information management treats knowledge as static truth claims that must be accepted or rejected. This paper documents an alternative framework observed in expert practice: multi-dimensional indexing that preserves source, temporal, contextual, and intentional metadata alongside content. Package Contents:* `manuscript.md`: Paper* `README.md`: Overview **Status:** Architectural Blueprint for Independent Implementation
Authors
- Geoffrey Howland
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-02-01
- DOI
- https://doi.org/10.5281/zenodo.18655616
- Primary Topic
- Information Retrieval and Search Behavior
- Type
- article
- Field-Weighted Citation Impact
- 0.00