Ontology Summit 2017 communiqué – AI, learning, reasoning and ontologies

Article type: Research Article

Authors: Baclawski, Kenneth^{a; *} | Bennett, Mike^b | Berg-Cross, Gary^c | Fritzsche, Donna^d | Schneider, Todd^e | Sharma, Ravi^f | Sriram, Ram D.^g | Westerinen, Andrea^h

Affiliations: [a] Northeastern University, Boston, MA, USA | [b] Hypercube Limited, London, UK | [c] RDA US Advisory Group, Troy, NY, USA | [d] Hummingbird Design, Chicago, IL, USA | [e] Engineering Semantics, Fairfax, VA, USA | [f] Senior Enterprise Architect, Elk Grove, CA, USA | [g] National Institute of Standards & Technology, Gaithersburg, MD, USA | [h] Nine Points Solutions, Potomac, MD, USA

Correspondence: [*] Corresponding author. E-mail: [email protected].

Note: [] Accepted by: Michael Gruninger

Abstract: There are many connections among artificial intelligence, learning, reasoning and ontologies. The Ontology Summit 2017 explored, identified and articulated the relationships among these areas. As part of the general advocacy of the Ontolog Forum to bring ontology science and engineering into the mainstream, we endeavored to abstract a conversational toolkit from the Ontology Summit sessions that may facilitate discussion and knowledge sharing amongst stakeholders concerned with the topic. Our findings are supported with examples from the various domains of interest. The results were captured in the form of this Communiqué, with expanded supporting material provided on the web.

Keywords: Artificial intelligence, machine learning, reasoning, ontologies

DOI: 10.3233/AO-170191

Journal: Applied Ontology, vol. 13, no. 1, pp. 3-18, 2018