LLM-empowered knowledge graph construction: A survey
6 months ago
- #Artificial Intelligence
- #Knowledge Graphs
- #Large Language Models
- Knowledge Graphs (KGs) are fundamental for structured knowledge representation and reasoning.
- Large Language Models (LLMs) have revolutionized KG construction, shifting from rule-based to language-driven frameworks.
- The survey covers LLM-empowered KG construction, focusing on ontology engineering, knowledge extraction, and knowledge fusion.
- Two paradigms are discussed: schema-based (structure and consistency) and schema-free (flexibility and adaptability).
- Future directions include KG-based reasoning for LLMs, dynamic knowledge memory, and multimodal KG construction.
- The survey aims to bridge symbolic knowledge engineering and neural semantic understanding for adaptive, explainable systems.