Multi-Source Knowledge Fusion overview

Multi-Source Knowledge Fusion as a cross-cutting topic — combining knowledge from multiple heterogeneous sources into a coherent view. Covers entity resolution across sources, schema alignment, conflict detection and resolution, confidence-weighted merging, temporal ordering of contradictory facts, and federated retrieval patterns that query multiple backends in parallel.