CYC: a large-scale investment in knowledge infrastructure

By D. Lenat. 1995

Subfields: Knowledge Graphs & Representation

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Citations in the corpus

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge (2019, background): “Many commonsense representations and inference procedures have been explored (McCarthy and Hayes, 1969; Kowalski and Sergot, 1986) and large-scale commonsense knowledge-bases have been developed (Lenat, 1995; Speer et al., 2017).”
Mass-Editing Memory in a Transformer (2022, background): “Pioneering hand-curated efforts (Lenat, 1995; Miller, 1995) have been followed by web-powered knowledge graphs (Auer et al., 2007; Bollacker et al., 2007; Suchanek et al., 2007; Havasi et al., 2007; Carlson et al., 2010; Dong et al., 2014; Vrandeˇci´c & Krötzsch, 2014; Bosselut et al., 2019) that…”
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction (2019, background): “Efficiency of learning from seed tuples Because not all domains will have large available commonsense KBs on which to train, we explore how varying the amount of training data available for learning affects the quality and novelty of the knowledge that is produced.”
A Review of Relational Machine Learning for Knowledge Graphs (2015, background): “Curated Yes Cyc/OpenCyc [23], WordNet [24], UMLS [25]”
Ontology-based Knowledge Representation for Bioinformatics (2000, background): “the Cyc ontology [4]) or in some particular domain of knowledge or practice, such as molecular biology or bioinformatics.”
Freebase: A Shared Database of Structured General Human Knowledge (2007, methodology): “Implementation examples include graph stores suitable for automated reasoning (Lenat 1995), semantic organization of encyclopedic knowledge (Krotzsch, Vrandecic, & Volkel 2005), and Copyright c© 2007, Association for the Advancement of Artificial Intelligence (www.aaai.org).”
DBpedia: A Multilingual Cross-domain Knowledge Base (2012, background): “DBpedia also includes links to other ontologies and knowledge bases, including Cyc (Lenat, 1995), Umbel.org, Schema.org and Freebase.com.”
Drinking From a Firehose: Continual Learning With Web-Scale Natural Language (2020, methodology): “there were attempts to manually create these KBs [61], their”
DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia (2015, background): “Cyc [26] is a large common sense knowledge base, which is now partially released as OpenCyc and also available as an OWL ontology.”
SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks (2000, background): “Once the attribute correspondences are identi®ed, more complex hierarchically structured correspondences can be constructed maybe through ontological engineering, such as described in [4,12].”
Choice of Plausible Alternatives: An Evaluation of Commonsense Causal Reasoning (2011, background): “The opposite was true of our second source of topics, the subject terms of the Library of Congress Thesaurus for Graphic Materials (Library of Congress Prints and Photographs Division, 1995).”
The PROMPT suite: interactive tools for ontology merging and mapping (2003, background): “, CycL (Lenat, 1995), OOFOL (Amir, 1999)), the assume intersection semantics for domains and ranges of properties.”
PREG: Elements of a Model of Question Asking (2001, background): “…to a number of different theories of knowledge representation, but we have adopted the knowledge structure metaphor for representing knowledge (Graesser, 1981; Graesser & Clark, 1985; Graesser, Gordon, & Brainerd, 1992; Lehmann, 1992; Lenat, 1995; Schank, 1986; Trabasso & van den Broek, 1985).”