KG Extraction Approach Selector

Select a knowledge-graph EXTRACTION approach for a given source — structured database integration vs LLM-based triple extraction vs iText2KG (incremental) vs RAKG (document-level) — by scoring a SOURCE PROFILE against five features (handles unstructured text, incremental-friendly, document-level context, determinism, setup cost), per Ch3 "Extraction Approaches for Heterogeneous Sources". A structured source hard-routes to schema materialization; the `incremental-cost` helper makes the iText2KG win concrete (re-process only new documents, not the entire corpus). Use when picking how to ingest a source into an agent's knowledge graph. NOT for choosing the graph MODEL class …