Relations (1)

cross_type 1.58 — strongly supporting 2 facts

Wikipedia is utilized as a foundational data source for knowledge graphs, serving as a training corpus for LLMs in [1] and as a source for category mapping to enrich knowledge graph ontologies in [2].

Facts (2)

Sources
Construction of Knowledge Graphs: State and Challenges - arXiv arxiv.org arXiv 1 fact
claimTailored ontology matching approaches exist for knowledge graphs, such as mapping categories derived from Wikipedia to the Wordnet taxonomy to achieve an enriched knowledge graph ontology.
Building Trustworthy NeuroSymbolic AI Systems - arXiv arxiv.org arXiv 1 fact
procedureKnowLLMs (LLMs over KGs) train Large Language Models using knowledge graphs such as CommonSense, Wikipedia, and UMLS, with a training objective redefined as an autoregressive function coupled with pruning based on state-of-the-art KG embedding methods.