An Introduction to the Syntax and Content of Cyc

By Cynthia Matuszek, J. Cabral, Michael J. Witbrock, J. DeOliveira. AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering, 2006

441 citations recorded by the source corpus.

Subfields: Artificial Intelligence

View Paper: https://www.semanticscholar.org/paper/543d58744f0402fe0cac4b5d52a943b110afd229

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In Artificial Intelligence

Citations in the corpus

Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO (2017, background): “OpenCyc’s sister KGs Cyc and ResearchCyc are apparently considerably better covered with entities [34], leading to higher Population completeness scores.”
AMIE: association rule mining under incomplete evidence in ontological knowledge bases (2013, background): “In recent years, we have experienced the rise of large knowledge bases (KBs), such as Cyc [23], YAGO [35], DBpedia [5], and Freebase(1).”
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications (2020, methodology): “Datasets with general ontological knowledge include WordNet [189], Cyc [190], DBpedia [191], YAGO [192], Freebase [193], NELL [194] and Wikidata [195].”
The TUM Kitchen Data Set of everyday manipulation activities for motion tracking and action recognition (2009, background): “7), which is inspired by the Cyc ontology [14].”
PARIS: Probabilistic Alignment of Relations, Instances, and Schema (2011, background): “This is a reasonable assumption, because most ontologies are either manually designed [23, 24], or generated from a database (such as the datasets mentioned in the introduction), or designed with avoiding equivalent resources in mind [30].”
KnowRob: A knowledge processing infrastructure for cognition-enabled robots (2013, background): “On the other hand, very expressive representations such as CycL (Matuszek et al, 2006), Scone (Fahlman, 2006), or Topic Maps (ISO/IEC, 1999) are able to model almost everything that can be expressed in natural language, but often have poor support for automated inference.”
DELIS Dynamically Evolving , Large-scale Information Systems Integrated Project Member of the FET Proactive Initiative Complex Systems DELIS-TR-594 Yago : A Large Ontology from Wikipedia and WordNet (2007, background): “These include WordNet [66], Cyc or OpenCyc [106], SUMO [114], and especially domain-specific ontologies and taxonomies such as UMLS2 or the GeneOntology3.”
The TPTP Problem Library and Associated Infrastructure (2009, background): “Some of the FOF problems are very large—these come from an export of part of the Cyc knowledge base [15].”
YAGO: A Large Ontology from Wikipedia and WordNet (2008, methodology): “These include WordNet [26], Cyc or OpenCyc [36], SUMO [39], and especially domain-specific ontologies and taxonomies such as UMLS 2 or the GeneOntology 3 .”
Improving Graph Neural Network Representations of Logical Formulae with Subgraph Pooling (2019, background): “When reasoning over large theories, e.g. the millions of axioms in Cyc [4], the ability to perform proof step classiﬁcation and premise selection becomes critical, as the search space for proofs can explode within as little as one inference step.”
A Comprehensive Survey on Automatic Knowledge Graph Construction (2023, background): “OpenCyc [52] is one of the earliest of these attempts, which encodes knowledge concepts, rules, and common sense ideas in the form of CycL.”
Understanding and executing instructions for everyday manipulation tasks from the World Wide Web (2010, methodology): “Once the structure of instructions is identified, the system resolves the meaning of the words using the WordNet lexical database [11] and the Cyc ontology [12].”
Multi-Modal Knowledge Graph Construction and Application: A Survey (2022, neutral): “Cyc [1], ConceptNet [2]), lexical knowledge (e.”
Knowledge Graphs (2020, neutral): “The Cyc project [313] aims to encode common-sense knowledge in a machine-readable way, where over 900 person-years of effort [339] have, since 1986, gone into the creation of 2.”
YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia (2007, background): “An introduction to the syntax and content of Cyc.”
KNOWROB — knowledge processing for autonomous personal robots (2009, background): “The overall structure and some of the concepts are inspired by the Cyc ontology [1].”
Implicit Bias in Crowdsourced Knowledge Graphs (2019, methodology): “However, Knowledge Graphs can also be created by means of large-scale manual effort like for example the classic Cyc ontology project [13] that required 900 person-years to be created.”