Module IV: The Construction Pipeline

This module addresses the practical "cleaning" and transformation of raw data into structured knowledge.

The Four-Phase Pipeline: Extraction, Consolidation, Storage/Inference, and Access.

Knowledge Acquisition: Named Entity Recognition & Disambiguation (NERD) and Relation Extraction.

Entity Resolution (ER): The "deduplication" challenge.

Strategies: Blocking (to reduce search space) and Similarity Metrics (Jaccard, Levenshtein, Jaro-Winkler).

Methodologies: Comparing Rule-based/Classical ML vs. Deep Learning (DeepMatcher).

Benchmarking and Evaluation: Mastering Mean Reciprocal Rank (MRR) and Hits@K, while avoiding data leakage in datasets like FB15k-237 and WN18RR.

HALLUCINATION CHECK: The bots say the next episode is module "V" instead of "5". They re ...