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[https://www.buffalo.edu/news/releases/2024/02/department-of-defense-ontology.html DOD, Intelligence Community adopt resource developed by UB ontologists], Bert Gambini, UBNow, February 29, 2024. | [https://www.buffalo.edu/news/releases/2024/02/department-of-defense-ontology.html DOD, Intelligence Community adopt resource developed by UB ontologists], Bert Gambini, UBNow, February 29, 2024. | ||
Revision as of 13:38, 10 October 2024
The goal of the National Center for Ontological Research is to advance ontological investigation within the United States. NCOR serves as a vehicle to coordinate, to enhance, to publicize, and to seek funding for ontological research activities. It lays a special focus on ontology training and on the establishment of tools and measures for quality assurance of ontologies. NCOR provides ontology services to multiple organizations, including the US Department of Defense.
Events
See here
For past events see here
For Buffalo Toronto Ontology Alliance (BoaT) see [1]
News
WhyMachines DOD, Intelligence Community adopt resource developed by UB ontologists, Bert Gambini, UBNow, February 29, 2024.
U.S. Defense and Intelligence to Adopt BFO and CCO Standards for Enhanced Data Management,Shivani Chauhan, 28 Feb 2024.
Article on BFO in the Frankfurter Allgemeine Zeitung, September 28, 2022, p. N3. Translation of opening paragraph:
- Industry standards are not usually associated with philosophy or the humanities. That is why the new ISO/IEC 21838 standard conceals a minor scientific-historical sensation. Because for the first time, a philosophical theory has now been declared an industry standard, namely: the "Basic Formal Ontology", BFO for short. When you try to pronounce this acronym, it sounds a lot like "Buffalo," and that's no coincidence. Because Barry Smith, the main brain behind this norm, is the Julian Park Professor of Philosophy at the University of Buffalo in northern New York State, not far from Niagara Falls ...
- For full text see here.
Interview with Barry Smith on Careers in Ontology, September 15, 2022
Interviews and podcasts on ''Why Machines Will Never Rule the World''
New book on limits of AI published, August 12, 2022.
Machines ruling the world? Impossible, say researchers
This will totally blow your mind
UB professor’s ontology work recognized in an international standard, April 29, 2022.
Press release on launch of Industrial Ontologies Foundry, February 19, 2021.
Video recording of talk by Barry Smith on "Defining Intelligence", February 17, 2021
Press-release launching the new Industrial Ontologies Foundry, February 19, 2021
NCOR-Brasil established, December 1, 2020
Using Ontology as Powerful Weapon in COVID-19 Fight, July 14, 2020
Leveraging a powerful weapon in the fight against COVID-19 — ontology, June 10, 2020
UB workshop to address human and machine capabilities, April 20, 2018
Working group seeks to extend the depth and functionality of biomedical ontologies, October 14, 2017
Barry Smith wins 2016 IAOA Ontology Competition, August 18, 2016
Doctoral Candidate Invited to Work on United Nations Project, January 4, 2016
Advantages of the Financial Report Ontology in Accounting Research, February 23, 2013
UB Ontologists Win Bioinformatics Integration Award to Support National Institutes of Health
Announcing Clinical and Translational Science Ontology Affinity Group
Information Overload in the Era of Big Data
Botanists building ontologies to cope with information overload
UB Applied Informatics Portal unveiled.
Education
Online Courses
Defining 'Ontology'
An ontology is a representation of some part of reality, (e.g. medicine, social reality, physics, etc.). Smith states that: “Ontology is the science of what is, of the kinds and structures of objects, properties, events, processes and relations in every area of reality…Ontology seeks to provide a definitive and exhaustive classification of entities in all spheres of being.” To be an accurate representation of reality an ontology includes the types of entities and events in a given domain (along with their definitions) arranged in a hierarchical structure, along with relations (such as part-of, depends-on, caused-by, etc. where necessary). Ontologies enable the formulation of robust and shareable descriptions of a given domain by providing a common controlled vocabulary for doctrine writers, IT Developers, and war-fighters alike, thereby allowing these disparate communities to communicate with each other. An ontology should be a shared resource between communities, and its continued collaborative development should support the integration of information and facilitate knowledge discovery. These two goals are realized by ensuring wide dissemination of the ontology, so that it will be used by many stakeholders, and its terms will be correspondingly familiar and readily used for search.
Basic Formal Ontology 2.0
Basic Formal Ontology 2020
Buffalo Toronto Ontology Alliance (BoaT)
- BFO Summit Meeting, May 23-25, 2023 Includes UB-Toronto-DHS session on government ontologies]
Why Machines Will Never Rule the World
Interviews and Podcasts
AI is cool, but will never reach human capability, Aug. 12, 2022
Blog of the American Philosophical Association: Interview with Charlie Taben, August 30, 2022. Youtube version
Systems Conversation (with Dr Oliver Gao, Director, Systems Engineering, Cornell University, Ithaca, NY, September 2, 2022)
AI is here, but will it rule us?, Wirkman Comments, podcast with David Ramsey Steele (September 27, 2022). See also here.
Machines Will Never Rule Us!, LocoFoco, September 27, 2022
Will Machines Rule the World? NAS Podcast with Scott Turner, October 4, 2022
Why AI will never rule the world, Interview by Luke Dormehl on Digital Trends Philpapers
Walid Saba on Why Machines Will Never Rule the World, Machine Learning Street Talk, December 15, 2022 (review starts half way through)
Why Machines Will Never Rule the World – On AI and Faith, Conversation between Jobst Landgrebe, Barry Smith and Rev. Jamie Franklin, Irreverend, November 30, 2022
Why the Singularity Might Never Come. Interview with Richard Hanania, Center for the Study of Partisanship and Ideology, January 30, 2023.
Where there’s no will there’s no way, Interview with Alex Thomson, UKCommons (April 2023)
Conversation with Jobst Landgrebe and Barry Smith: Why AI won’t rule the world, The Pangburn Hangout, May 5, 2023.
AI and ChatGPT: Should we be worried? Stever Peterson, Jobst Landgrebe and Barry Smith, National Association of Scholars, May 19, 2023
Why Machines Will Never Rule the World, Jobst Landgrebe and Barry Smith, Interview with Kyle Polich, Data Sceptic, May 29, 2023
Press Items and Notices
AI is cool, but will never reach human capability, Bert Gambini, August 25, 2022
Why AI will never rule the world Interview by Luke Dormehl on Digital Trends, September 25, 2022 (Recording)
UB Lecture, September 20, 2022
L’intelligenza artificiale non dominerà il mondo, interview with Barry Smith, Il sole de 24 ore, April 27, 2024.:
The Philosophome
Semantics of Biodiversity
Paper: Semantics in Support of Biodiversity Knowledge Discovery (PLoS ONE, 2013)
Video Presentations from: Semantics of Biodiversity Workshop (2012)
- Building Darwin Core top-down in BFO
- Organisms, photographs, media
- How to re-use ontologies
- Principles of singular nouns, secondary use, understandability
- Writing good definitions (DwC Examples)
- Management strategies
- Ontologies for reuse (BFO, EnvO, IDO, OBI, Plant Ontology , Uberon, IAO)
- Educational resources (OBI, Protege, BFO)
Finance and Economics
An Application of Basic Formal Ontology to the Ontology of Services and Commodities, Institute for Business Informatics, University of Koblenz, Germany July 23, 2013
Barry Smith, Reference Data Integration: A Strategy for the Future, Financial Reference Data Management Conference (FIMA), New York, March 2012
The Wernicke Ontology Principle
Wernicke is an ontology-dependent AI system used to automate recurring business processes. Wernicke is based on formal logic developed by Jobst Landgrebe and co-workers at Cognotekt. Its ontologies do not have an Aristotelian taxonomic structure, but are fully axiomatised and logically describe the syntactic structure of recurring language patterns in the Prolog-subset of first order logic. The use of terms in two or more axiomatic definitions of ontological entities creates an implicit network structure within the ontology.
Examples (in German)
1. Implication relations for verbs and verb phrases. (There are hundreds of examples of such formulae in each Wernicke ontology.)
((zahlung(Y) AND nachkommen(Z) AND verb(Z,X,Y)) IMPL zahlen(Z)) ((geld(Y) AND schicken(Z) AND (verb(Z,X) OR verb(Z,X,Y1))) IMPL zahlen(Z)) ((kosten(Y) AND tragen(Z) AND verb(Z,X,Y)) IMPL zahlen(Z)) ((überweisungsträger(Y) AND einwerfen(Z) AND verb(Z,X,Y)) IMPL zahlen(Z)) ((bringen(Z) AND ausgleich(A) AND zum(B) AND mod(B,A,Z) AND verb(Z,X,Y)) IMPL zahlen(Z)) ((möglich(A) AND mod(A,Z) AND sein(Z) AND (verb(Z,X) OR verb(Z,X,Y))) IMPL möglichsein(Z)) ((bitten(Z) AND mod(B,A,Z) AND möglichkeit(A) AND verb(Z,X,Y)) IMPL möglichsein(Z))
2. Temporal structures
((übermorgen(W) AND (Y=2)) IMPL zeitabstand(W,in,Y,tagen)) ((morgen(W) AND (Y=1)) IMPL zeitabstand(W,in,Y,tagen)) ((heute(W) AND (Y=0)) IMPL zeitabstand(W,in,Y,tagen)) ((gestern(W) AND (Y=1)) IMPL zeitabstand(W,vor,Y,tagen)) ((vorgestern(W) AND (Y=2)) IMPL zeitabstand(W,vor,Y,tagen))
3. Domain pattern formulae (ontologic entities)
past payment a: ((zahlung(X) OR geld(X)) AND rausgehen(Z) AND (I=vergangen) AND verb(Z,X) AND vergangentemp(Z)) past payment b: ((zahlung(Y) AND tätigen(Z) AND verb(Z,X,Y) AND (I=vergangen) AND vergangentemp(Z)) past payment c: ((sein(Z) AND (betrag(X) OR forderung(X)) AND zahlen(A) AND mod(A,Z) AND (I=vergangen) AND verb(Z,X) AND NOT temp_mod(Z, praet, konj2)
Information Ontology
BFO-based data and information ontologies
Military and Intelligence Ontology
JFCOM: Semantic Web and Joint Training (2010)
I2WD: Semantic Enhancement for DSGS-A: Distributed Development of a Shared Semantic Resource (2012-13)
I2WD: PED Fusion via Enterprise Ontology
Common Core Ontologies (preliminary statement)
Ontology for Navy Systems Engineering
Ontology of Planning
Ontology of Engineering
BFO-Based Engineering Ontologies
Bob Young: Towards a Reference Ontology for Manufacturing (2016)
Interoperable Manufacturing Knowledge Systems (2017)
Ontology for Navy Systems Engineering
Materials Ontology
Ontology for Clinical and Translational Science
Clinical and Translational Science Ontology Group
Microbiome Ontology
Ontology
What Biofilms Can Teach Us about Individuality
Designing an Ontology Tool for the Unification of Biofilms Data
Eearth Microbiome Project Ontlogy EMPO
The Human Microbiome
Functional and phylogenetic assembly of microbial communities in the human microbiome
The human microbiome, including as appendix: A microbiome glossary
Parts and Wholes: The Human Microbiome, Ecological Ontology, and the Challenges of Community
Microbiomes and the external environment
A communal catalogue reveals Earth’s multiscale microbial diversity
MetaSUB: Metagenomics and Metadesign of Subways & Urban Biome
Tracking human sewage microbiome in a municipal wastewater treatment plant
Varia
Collective bio-molecular processes: The hidden ontology of systems biology
A review of methods and databases for metagenomic classification and assembly
Suggested Reading
Coordinated Evolution of Biomedical Ontologies
Avoiding Perspective-Relative Silos
Training Videos
Ontology for Intelligence, Defense and Security
A Repeatable Process for Ontology Development
Avoiding Semantic Stovepipes: Five Ontological Principles for Interoperability
