D. B. Lenat and R. V. Guha, Building Large Knowledge-Based Systems: Representation and Inference in the Cyc Project

By Drew V. McDermott. 1993

Subfields: Knowledge Graphs & Representation

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Citations in the corpus

VQA: Visual Question Answering (2015, background): “However, it includes as building blocks several components that the CV, NLP, and KR [4, 6, 25, 29, 3] communities have made significant progress on during the past few decades.”
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus (2016, background): “More recently, researchers have started to utilize large-scale knowledge bases (KBs) (Lopez et al., 2011), such as Freebase (Bollacker et al., 2008), WikiData (Vrandeˇci´c and Kr¨otzsch, 2014) and Cyc (Lenat and Guha, 1989).”
Jumping NLP Curves: A Review of Natural Language Processing Research [Review Article] (2014, background): “The most representative projects are: (a) Cyc (Lenat & Guha, 1989), Doug Lenat’s logic-based repository of common-sense knowledge; (b) WordNet (Fellbaum, 1998), Christiane Fellbaum’s universal database of word senses; (c) Thought-Treasure (Mueller, 1998), Erik Mueller’s story understanding system; a”
SenticNet 3: A Common and Common-Sense Knowledge Base for Cognition-Driven Sentiment Analysis (2014, background): “Cyc, however, requires the involvement of experts working on a specific programming language, which makes knowledge engineering labor-intensive and timeconsuming .”
Towards a Universal Continuous Knowledge Base (2020, background): “On one hand, it is time-consuming and laborintensive to manually construct knowledge bases (Lenat and Guha, 1990).”
Commonsense Reasoning for Natural Language Understanding: A Survey of Benchmarks, Resources, and Approaches (2019, background): “A well-known project toward encoding commonsense knowledge is Cyc by Lenat and Guha (1989), a knowledge base of rules expressing ontological relationships between objects encoded in the CycL language.”
Determining Semantic Similarity among Entity Classes from Different Ontologies (2003, methodology): “Examples of axiomatized ontologies include the GALEN core model [12], the PSL ontology [13], and Cyc [14].”
Decoding Wikipedia Categories for Knowledge Acquisition (2008, background): “Current approaches to knowledge acquisition from human users are different from the efforts of the past when the burden of building the resource was placed on the shoulders of a small number of experts: the task is now distributed to numerous volunteers through collaborative projects supported by th”
Artificial General Intelligence: Concept, State of the Art, and Future Prospects (2009, background): “• Cyc (Lenat and Guha, 1989) is an AGI architecture based on predicate logic as a knowledge representation, and using logical reasoning techniques to answer questions and derive new knowledge from old.”
ASER: A Large-scale Eventuality Knowledge Graph (2019, background): “Typical KGs include WordNet [16] for words, FrameNet [5] for events, and Cyc [21] and ConceptNet [25] for commonsense knowledge.”
An ontological analysis of the economic primitives of the extended-REA enterprise information architecture (2002, background): “On the declarative side, there certainly needs to be some attempts at integrating this small domain ontology into more general frameworks such as CYC (Lenat and Guha, 1990) and into more specific enterprise frameworks such as those enumerated in Bernus et al. (1998) and in Vernadat (1996).”