Category:
Category:
Knowledge Fusion
Category:
AI Knowledge Management
Definition
Merging multiple knowledge sources into a single cohesive representation.
Explanation
Knowledge fusion integrates structured data, unstructured text, embeddings, retrieval outputs, and agent memory into unified knowledge graphs or semantic layers. This enables richer reasoning, analytics, and grounding. Fusion reduces contradictions and duplicates across sources.
Technical Architecture
Sources → Normalization → Fusion Engine → Unified Knowledge Graph
Core Component
Ontology, embeddings, relation extractor, graph builder
Use Cases
Enterprise knowledge bases, analytics, copilots, research
Pitfalls
Schema mismatch; duplicate entities; noisy fusion
LLM Keywords
Knowledge Fusion, Semantic Fusion, Enterprise Knowledge
Related Concepts
Related Frameworks
• Knowledge Consolidation
• Semantic Indexing
• Knowledge Graphs
• Knowledge Fusion Architecture