PeopleofSuperintelligence

Researcher

Michael Uschold

Also known as Mike Uschold

Michael Uschold is an artificial intelligence researcher who develops methods for building ontologies. He earned degrees in mathematics and physics, computer science, and artificial intelligence, then researched and taught in Edinburgh’s AI department. With colleagues, he coauthored the Enterprise Ontology for business terms and modelling, and applied semantic technology at Boeing and Reinvent. He is a senior ontology consultant at Semantic Arts; in 2018, he published a guide to OWL, and in 2025, he wrote about categorization. As of October 2026, he is an Ontology Fellow there.

Now at
Semantic Arts
Born
1955
Works
84
Citations
6,592
h-index
15
Badges

Years link to their sources. Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1977–1991

    An AI doctorate

    He earns a BA in mathematics and physics from Canisius College in 1977, an MS in computer science from Rutgers University, and a PhD in artificial intelligence from the University of Edinburgh in 1991.

  2. 1983–1995

    Research at Edinburgh AI

    He joins the University of Edinburgh’s Department of Artificial Intelligence as a researcher and lecturer in 1983, then moves to its Artificial Intelligence Applications Institute. With Martin King, he publishes a 1995 paper that outlines requirements for a method to build ontologies. He co-presents the first tutorial on ontology engineering in the UK in 1995.

  3. 1996

    A review of ontology methods

    With Michael Gruninger, he publishes “Ontologies: Principles, Methods and Applications” in the June 1996 issue of The Knowledge Engineering Review. The paper outlines a methodology for developing and evaluating ontologies, including scoping and definition.

  4. 1997–2008

    Boeing and the Enterprise Ontology

    He works as a research scientist at Boeing from 1997 to 2008 and applies semantic technology to enterprise challenges. With Martin King, Stuart Moralee and Yannis Zorgios, he publishes The Enterprise Ontology in 1998; it collects business terms and definitions and provides a basis for enterprise modelling methods and tools.

  5. 2008–2009

    Semantic advertising at Reinvent

    During 2008–2009, he works at Reinvent on a team that develops a semantic advertising platform that increases revenue.

  6. 2010–2018

    A book about OWL

    He joins Semantic Arts as a senior ontology consultant in 2010 and guides clients in semantic technology. In 2018, he publishes Demystifying OWL for the Enterprise, a guide to learning the Web Ontology Language, OWL.

  7. March 2025

    Buckets and categorization

    In March 2025, he publishes “Buckets, Buckets Everywhere: Who Knows What to Think,” an essay about how people categorize and model concepts.

  8. As of October 2026

    Ontology Fellow at Semantic Arts

    As of October 2026, he serves as an Ontology Fellow at Semantic Arts.

Career

  1. Since 2010Semantic ArtsSenior Ontology Consultant
  2. 2008–2009Reinvent
  3. 1997–2008BoeingResearch Scientist
  4. 1983–1995University of EdinburghResearcher and Lecturer

Education

  1. 1991University of EdinburghPhD in artificial intelligence
  2. 1977Canisius CollegeBA in mathematics and physics
  3. Rutgers UniversityMS in computer science

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Ontologies: principles, methods and applications1996 · The Knowledge Engineering Review · 3,525 citations
  2. The Enterprise Ontology1998 · The Knowledge Engineering Review · 938 citations
  3. A Framework for Understanding and Classifying Ontology Applications1999 · 469 citations
  4. Ontologies and semantics for seamless connectivity2004 · ACM SIGMOD Record · 410 citations
  5. Knowledge level modelling: concepts and terminology1998 · The Knowledge Engineering Review · 214 citations

From OpenAlex, as of 21 October 2026.

  1. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes University of Edinburgh. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  2. Universities keep AI researchers for a median of 6 years, compared with 2 years at frontier labsIncludes Rutgers University. Across 15,811 dated work stays (6,529 people), median role tenure runs from 6 years at universities to 2 years at frontier labs. We compare all five organization types, starting decades from the 1970s to the 2020s, and the organizations that keep people longest.
  3. Universities had a net outflow of 2,068 moves in AI careersIncludes University of Edinburgh. Our estimates of career flows and median h-index across universities and companies in AI, including the role of joint appointments and earlier academic jobs.
  4. People shaping AI work at a median of 3 organizations over a career: 3 for university starters and institute and lab starters, versus 2 for company startersIncludes University of Edinburgh. Across 6,853 people shaping AI with a dated work role, we estimate a median of 3 parent organizations over a career (mean 3.6), comparing role groups, starting sectors and starting decades from the 1950s to 2020–2026.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

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  1. Michael Uschold - Wikipedia en.wikipedia.org. Checked 20 October 2026.
  2. Demystifying OWL for the Enterprise - Michael Uschold - Google Books books.google.com. Checked 20 October 2026.
  3. About Us - Semantic Arts semanticarts.com. Checked 20 October 2026.
  4. Enterprise Project: The Enterprise Ontology aiai.ed.ac.uk. Checked 20 October 2026.
  5. The Enterprise Ontology maxapress.com. Checked 20 October 2026.
  6. Michael Uschold | Semantic Arts semanticarts.com. Checked 20 October 2026.