Relations (1)
related 2.00 — strongly supporting 3 facts
Knowledge graph construction and knowledge fusion are intrinsically linked as knowledge fusion is a core component of the traditional three-layered pipeline for constructing knowledge graphs [1]. Furthermore, modern generative frameworks are evolving to integrate knowledge fusion directly into the broader knowledge graph construction process [2], while both concepts are identified as key technical areas within the field of knowledge graph development [3].
Facts (3)
Sources
LLM-empowered knowledge graph construction: A survey - arXiv arxiv.org 2 facts
claimLarge Language Models are transforming Knowledge Graph construction by shifting the paradigm from rule-based and modular pipelines toward unified, adaptive, and generative frameworks across ontology engineering, knowledge extraction, and knowledge fusion.
claimTraditional Knowledge Graph construction follows a three-layered pipeline comprising ontology engineering, knowledge extraction, and knowledge fusion.
Knowledge Graphs: Opportunities and Challenges - Springer Nature link.springer.com 1 fact
claimSignificant technical challenges in knowledge graph development involve limitations in five representative technologies: knowledge graph embeddings, knowledge acquisition, knowledge graph completion, knowledge fusion, and knowledge reasoning.