Tradition

Knowledge representation

AI research into encoding knowledge so that machines can reason with it: semantic networks, frames and description logics.

also
Symbolic AI
scheme
traditions

Where it answered

This tradition's column of the issues map: which questions its works mainly answer, and the earliest of each.

Works from this tradition by main design issue
issueworksearliest
Technical 31 works · 65%
Identification 3 In Defense of Ambiguity 2008
Linking
Data model 9 Semantic network 1956
Serialization
Reasoning 17 Programs with Common Sense 1959
Query & validation 2 On Closed World Data Bases 1978
Scale & performance
Bridge 16 works · 33%
Vocabulary 16 WordNet 1985
Human 1 work · 2%
Topology
Trust 1 Named Graphs, Provenance and Trust 2005
Governance
Adoption & incentives
Sustainability
Usability

Shares works with Web standards (11) · Databases (4) · Life sciences (4) · Machine learning (4) · Libraries, archives and museums (2)

Counts use each work's main design issue, as on the full map; 48 works in all.

Timeline

Everything from this tradition, in lanes by type. Bars run from start to end where both are known; marks people, projects and organizations still active. 33 entries have no date and are not shown. Hover over or focus an entry to draw its links. Scroll sideways, or use the decades above.

Entries (99)

Concepts 12

  • Semantic network 1956 concept formalism

    Graph of concepts joined by labelled relations, used to represent meaning; first proposed by Richard Richens in 1956 and developed by Quillian and others in the 1960s.

  • Frames 1974 concept formalism

    Knowledge structures of slots with default values describing stereotyped situations, proposed by Marvin Minsky in 1974.

  • Description logic concept formalism

    Family of decidable logics for describing concepts and their relations; the formal basis of OWL.

  • Entailment and inference concept formalism

    Deriving facts that follow from stated ones plus a schema or ontology, for example that a member of a subclass is also a member of its superclass.

  • Identity and co-reference concept debate

    The problem of recognising when different names refer to the same thing. OWL's owl:sameAs states it, but used loosely across datasets it merges things that are only similar.

  • Knowledge graph concept formalism

    Graph of entities and the relations between them, used to integrate and query data; the term spread after Google's 2012 Knowledge Graph.

  • Neuro-symbolic AI concept technique

    AI that combines neural networks with symbolic knowledge such as rules and knowledge graphs; it drew new attention in the 2020s as a way to ground large language models.

  • Ontology (information science) concept formalism

    Formal description of the concepts in a domain and the relations between them, which software can use to reason about data.

  • Ontology spectrum concept

    Scale of increasingly formal knowledge organization, from catalogues and glossaries through thesauri and taxonomies to logic-based ontologies, drawn to clarify the many things called 'ontologies'.

  • Open-world assumption concept principle

    The rule that a fact missing from the data is unknown, not false. RDF and OWL assume it, unlike most databases.

  • Software agent concept vision

    Program that acts on a person's behalf, for example finding and booking a service; the payoff promised by the 2001 Scientific American article.

  • Upper ontology concept formalism

    Ontology of very general categories, such as object, process and quality, shared across domains. Examples include Cyc's upper ontology, BFO, DOLCE and SUMO.

Writings 22

Standards 9

  • SHOE c. 1996 standard

    Simple HTML Ontology Extensions: an early language for writing ontologies and annotating web pages with machine-readable claims, developed at the University of Maryland around 1996; among the first ontology languages made for the Web.

  • CIDOC Conceptual Reference Model 1999 standard ★ seminal

    Ontology for museum and cultural heritage documentation from ICOM's documentation committee, first issued in 1999 and an ISO standard since 2006. It describes objects through the events in their history, such as production, acquisition and movement, so that records from different institutions can be integrated.

  • DAML+OIL 2001 standard

    Ontology language formed in 2001 by merging the American DAML with the European OIL; a thin layer over RDF Schema with description-logic semantics, and the direct basis of OWL.

  • SNOMED CT 2002 standard

    Logic-based clinical terminology of medical concepts and their relations, released in January 2002 and maintained by SNOMED International.

  • ISO 15926 2003 standard

    ISO standard for integrating the life-cycle data of process plants, including oil and gas facilities, with a generic data model (Part 2, 2003) and reference data libraries; Part 8 implements it in OWL and RDF.

  • OWL 2004 standard ★ seminal

    W3C language for writing ontologies on the Web, based on description logics. OWL 2 followed in 2009.

  • FRBRoo 2006 standard

    Formal ontology joining the librarians' FRBR model with the museums' CIDOC CRM, begun in 2006, so that bibliographic and museum records share one model.

  • OWL 2 2009 standard

    Second version of OWL, adding profiles such as OWL 2 EL, QL and RL for tractable reasoning; a W3C Recommendation since October 2009.

  • Financial Industry Business Ontology 2014 standard

    OWL ontology of financial contracts, instruments, parties and their relations, begun after the 2008 crisis as a shared vocabulary for analysis and regulatory reporting; developed by the EDM Council with the Object Management Group and in an open community process since 2020.

Projects 8

  • Cyc 1984 project ★ seminal

    Long-running project to hand-encode common-sense knowledge as a logical knowledge base, started at MCC and continued by Cycorp.

  • WordNet 1985 project ★ seminal

    Lexical database of English begun in 1985 at Princeton's Cognitive Science Laboratory under George A. Miller: nouns, verbs and adjectives grouped into sets of synonyms linked by relations such as broader and part-of. It became a shared vocabulary for language processing and for knowledge bases such as YAGO.

  • Protégé 1987 project

    Free ontology editor from Stanford University, widely used to build OWL ontologies.

  • Gene Ontology 1998 project ★ seminal

    Ontology of gene and gene-product functions begun in 1998 by researchers working on fly, mouse and yeast genomes; one of the most used ontologies in biology.

  • DAML 1999 project

    DARPA research programme started in 1999 by Jim Hendler to create machine-readable representations for the Web; its RDF-based DAML language fed directly into OWL.

  • International Semantic Web Conference 2002 project

    Annual research conference of the Semantic Web community, held since 2002 after a 2001 symposium at Stanford.

  • OBO Foundry 2007 project

    Collective of biomedical ontology developers who share principles for building interoperable ontologies; it has led the OBO effort since 2007.

  • YAGO 2007 project

    Knowledge base built at the Max Planck Institute for Informatics that combines facts from Wikipedia with WordNet's taxonomy (later with schema.org's); with DBpedia, one of the first large knowledge bases extracted from Wikipedia.

Organizations 4

  • Stanford University 1885 organization

    Private research university in California whose biomedical informatics group develops Protégé.

  • DARPA 1958 organization

    US Defense Department research agency, which funded the DAML programme and earlier funded Engelbart's work.

  • Microelectronics and Computer Technology Corporation 1982–2000 organization

    American research consortium in Austin, Texas, which hosted the Cyc project from 1984 until 1994.

  • Cycorp 1994 organization

    Austin company founded by Doug Lenat to continue developing Cyc after it left MCC.

People 44

  • George A. Miller 1920–2012 person

    American psychologist who founded WordNet at Princeton in 1985.

  • Marvin Minsky 1927–2016 person

    American AI pioneer at MIT who proposed frames in 1974, a structure of slots and defaults that prefigures classes and properties in ontologies.

  • John McCarthy 1927–2011 person

    American computer scientist who coined the term 'artificial intelligence', created Lisp and proposed representing knowledge in formal logic.

  • Raymond Reiter 1939–2002 person

    Canadian computer scientist and logician who formalized the closed-world assumption for databases in 1978.

  • William A. Woods b. 1942 person

    American researcher in natural-language processing and knowledge representation, author of 'What's in a Link' (1975).

  • Pat Hayes b. 1944 person

    British AI researcher at IHMC who edited RDF's model theory (RDF Semantics, 2004) and co-edited OWL's semantics.

  • Gerald Jay Sussman b. 1947 person

    MIT computer scientist in artificial intelligence and programming languages since 1964; co-author of 'Information Accountability' (2008).

  • Ronald J. Brachman b. 1949 person

    American AI researcher who designed KL-ONE, the system from which description logics grew.

  • Doug Lenat 1950–2023 person

    American AI researcher who began the Cyc project in 1984 to hand-encode common-sense knowledge, and founded Cycorp to continue it.

  • Christiane Fellbaum b. 1950 person

    American linguist who later directed WordNet at Princeton.

  • Hector Levesque b. 1951 person

    Canadian AI researcher whose work with Ronald Brachman set out the trade-off between expressiveness and tractability in knowledge representation.

  • Mark Musen b. 1956 person

    Stanford biomedical informatician who built the first version of Protégé in 1987 and has led its development since.

  • Jim Hendler b. 1957 person

    American AI researcher who co-wrote 'The Semantic Web' (2001) and, as a DARPA programme manager, ran the DAML programme that fed into OWL.

  • Ian Horrocks b. 1958 person

    British computer scientist at Oxford whose work on description logics shaped OWL; he co-edited OWL's formal semantics.

  • Tom Gruber b. 1959 person

    American computer scientist whose 1993 paper gave the much-quoted definition of an ontology as 'an explicit specification of a conceptualization'. He later co-founded Siri.

  • Deborah McGuinness b. 1960 person

    American computer scientist who co-wrote 'Ontology Development 101' and co-edited the W3C's 2004 OWL overview.

  • Frank van Harmelen b. 1960 person

    Dutch computer scientist at the Vrije Universiteit Amsterdam who co-edited the W3C's 2004 OWL overview.

  • Jan Wielemaker b. 1960 person

    Dutch computer scientist at Vrije Universiteit Amsterdam and the main developer of SWI-Prolog; co-author of sameAs.cc (2018).

  • R.V. Guha b. 1965 person

    Indian computer scientist whose work runs from Cyc through Apple's Meta Content Framework and Netscape's RSS to schema.org, which he started at Google.

  • Jeff Heflin b. 1970 person

    One of the University of Maryland developers of SHOE, an early ontology language for the Web (around 1996).

  • Markus Krötzsch b. 1981 person

    German computer scientist who co-created Semantic MediaWiki and Wikidata with Denny Vrandečić; he works on knowledge representation at TU Dresden.

  • Aidan Hogan person

    Semantic Web researcher at the University of Chile and lead author of the 2021 survey 'Knowledge Graphs'.

  • Chen Chen person

    Co-author of 'Unifying Large Language Models and Knowledge Graphs: A Roadmap' (2023).

  • Claudio Gutiérrez person

    Chilean computer scientist at the Universidad de Chile and co-author of the formal semantics of SPARQL (2009).

  • David Rager person

    One of the University of Maryland developers of SHOE, an early ontology language for the Web (around 1996).

  • Fabian M. Suchanek person

    Computer scientist, now a professor at Télécom Paris, who created YAGO.

  • Guus Schreiber person

    Dutch computer scientist at VU Amsterdam who co-chaired the W3C Web Ontology Working Group that produced OWL, with Jim Hendler.

  • James G. Schmolze person

    American computer scientist, co-author of the 1985 overview of KL-ONE.

  • Jérôme Euzenat person

    French computer scientist at Inria who co-wrote Ontology Matching (2007) with Pavel Shvaiko.

  • Jiapu Wang person

    Co-author of 'Unifying Large Language Models and Knowledge Graphs: A Roadmap' (2023).

  • Lee Spector person

    One of the University of Maryland developers of SHOE, an early ontology language for the Web (around 1996).

  • Linhao Luo person

    Co-author of 'Unifying Large Language Models and Knowledge Graphs: A Roadmap' (2023).

  • M. Ross Quillian person

    Cognitive scientist whose 1960s models of semantic memory helped establish semantic networks as a way to represent meaning.

  • Martin Doerr person

    Information scientist who led the development of the CIDOC Conceptual Reference Model and its harmonisation with FRBR.

  • Natasha Noy person

    Computer scientist who worked on the Protégé ontology editor at Stanford, co-wrote 'Ontology Development 101', and co-wrote the 2019 paper introducing Google Dataset Search.

  • Ora Lassila person

    Finnish computer scientist who co-edited the first RDF specification (1999) and co-wrote the 2001 Scientific American article 'The Semantic Web'.

  • Pavel Shvaiko person

    Computer scientist who co-wrote Ontology Matching (2007) with Jérôme Euzenat.

  • Peter Patel-Schneider person

    Researcher at Bell Labs who co-edited OWL's formal semantics and co-wrote the design history of OWL.

  • Robert J. Rovetto person

    Researcher who proposed ontologies for orbital debris and space situational awareness data from 2015.

  • Sean Luke person

    One of the University of Maryland developers of SHOE, an early ontology language for the Web (around 1996).

  • Serena Villata person

    Researcher at INRIA who co-edited the W3C ODRL Information Model 2.2 (2018).

  • Shirui Pan person

    Co-author of 'Unifying Large Language Models and Knowledge Graphs: A Roadmap' (2023).

  • Xindong Wu person

    Co-author of 'Unifying Large Language Models and Knowledge Graphs: A Roadmap' (2023).

  • Yufei Wang person

    Co-author of 'Unifying Large Language Models and Knowledge Graphs: A Roadmap' (2023).