spike-findings-hipai-montague-semantic-cognition

name	spike-findings-HiPAI-Montague-Semantic-Cognition
description	Implementation blueprint from spike experiments. Requirements, proven patterns, and verified knowledge for building HiPAI-Montague-Semantic-Cognition. Auto-loaded during implementation work.

## Project: HiPAI-Montague-Semantic-Cognition

Validate the architectural shift from regex-based NLP and manual property-tagging Cypher to a professional pipeline using spaCy (for lemmatization and dependency parsing) and owlready2 (for Description Logic reasoning via HermiT).

Spike sessions wrapped: 2026-05-03

## Requirements

• Must use spaCy for surface NLP (lemmatization, POS, dep-parse).
• Must use owlready2 for ontological reasoning and consistency checking.
• Must support transitive subsumption (e.g., Aristotle -> Philosopher -> Man -> Mortal).

<findings_index>

Feature Areas

Area	Reference	Key Finding
NLP & Reasoning Integration	references/nlp-reasoning-integration.md	Transitive subsumption (Aristotle is Mortal) successfully inferred via spaCy/owlready2.

Source Files

Original spike source files are preserved in sources/ for complete reference. </findings_index>

## Processed Spikes

• 001-spacy-owlready2-integration