Knowledge Tree
Wikipedia
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Wikipedia and the Epistemology of Testimony | Episteme cambridge.org Jan 3, 2012 4 facts
claimThe author of the paper 'Wikipedia and the Epistemology of Testimony' seeks to elucidate the nature of collective epistemic agency, citing Tollefsen (2006) as a reference for this concept.
claimThe author of the paper 'Wikipedia and the Epistemology of Testimony' argues that group testimony cannot always be understood in a summative fashion as the testimony of some or all of the individual group members.
claimThe author of the paper 'Wikipedia and the Epistemology of Testimony' aims to determine whether Wikipedia is a source of testimony, the nature of that source, and how to assess the trustworthiness of Wikipedia as an epistemic source.
claimThe author of the paper 'Wikipedia and the Epistemology of Testimony' argues that standard reductionist accounts regarding the justification of testimonial belief can be extended to cases of testimonial belief formed on the basis of group testimony.
Social Epistemology - Stanford Encyclopedia of Philosophy plato.stanford.edu Feb 26, 2001 3 facts
referenceDeborah Tollefsen's 2009 paper 'Wikipedia and the Epistemology of Testimony' applies theories of testimony to the collaborative knowledge-building process found on Wikipedia.
claimSocial epistemologists are increasingly examining the role of technology in testimony, specifically questioning how the multi-author nature of Wikipedia entries affects the epistemology of beliefs formed based on them.
referenceDon Fallis's 2011 chapter 'Wikipistemology' in 'Social epistemology: Essential readings' analyzes the epistemic reliability and structure of Wikipedia.
A survey on augmenting knowledge graphs (KGs) with large ... link.springer.com Nov 4, 2024 2 facts
claimDBpedia is a community-driven project that extracts structured content from Wikipedia and makes it available online.
referenceLiu, Saleh, Pot, Goodrich, Sepassi, Kaiser, and Shazeer authored 'Generating Wikipedia by summarizing long sequences', an arXiv preprint published in 2018 (arXiv:1801.10198).
Bridging the Gap Between LLMs and Evolving Medical Knowledge arxiv.org Jun 29, 2025 2 facts
claimIn the AMG-RAG system, the Medical Knowledge Graph (MKG) created using PubMed data (PubMed-MKG) is more effective in enhancing system performance than the version created using Wikipedia data (Wiki-MKG), as demonstrated by ablation studies in Table 3.
procedureThe AMG-RAG system constructs a Medical Knowledge Graph (MKG) dynamically for each question by integrating search items, contextual information, and relationships extracted from medical textbooks and search tools, specifically Wikipedia (Wiki-MKG) and PubMed (PubMed-MKG).
LLM-Powered Knowledge Graphs for Enterprise Intelligence and ... arxiv.org Mar 11, 2025 2 facts
claimLinking internal entities to external knowledge graphs like Wikipedia can help organizations understand the impact of external events on task priorities or identify large-scale opportunities.
perspectiveThe authors plan to fine-tune LLM models for specific tasks and explore real-time collaboration features, such as linking internal entities to external knowledge graphs like Wikipedia.
Combining large language models with enterprise knowledge graphs frontiersin.org Aug 26, 2024 1 fact
claimKnowledge graphs like Freebase and YAGO are primarily derived from text corpora such as Wikipedia and aim to cover extensive real-world knowledge.
Knowledge Graph Combined with Retrieval-Augmented Generation ... drpress.org Dec 2, 2025 1 fact
referenceDanqi Chen proposed a method for reading Wikipedia to answer open-domain questions in an arXiv preprint published in 2017.
Large Language Models Meet Knowledge Graphs for Question ... arxiv.org Sep 22, 2025 1 fact
referenceSimGRAG, as described by Cai et al. (2024), employs instruction fine-tuning for RAG with filtering using Llama-3-8B-Instruct and Gemma-2-27B-it models, utilizing Wikipedia and PubMed knowledge graphs for domain-specific and multi-choice QA tasks.
The Psychology of Advertising - - Taproot Therapy Collective gettherapybirmingham.com Oct 14, 2024 1 fact
claimDigital technologies, including open source software, Wikipedia, grassroots media, and fan communities, have enabled new forms of decentralized, collaborative cultural production where consumers become producers and spectators become participants.
Applying Large Language Models in Knowledge Graph-based ... arxiv.org Jan 7, 2025 1 fact
claimCorpus-based approaches for determining semantic similarity between concepts rely on data from extensive corpora like Wikipedia and measure semantic relatedness rather than semantic similarity, meaning they do not account for hierarchical relations.