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An explanation is the answer to the question "Why?" as well the answers to followup questions such as "Where do I go from here?" Accordingly, explanations generally occur within the context of a process, which could be a dialog between a person and a system or could be an agent-to-agent communication process between two systems. The Ontology Summit 2019 is concerned with the role of ontologies for explaining the reasoning of a system. More specifically, the summit will focus on critical explanation gaps and the role of ontologies for dealing with these gaps. The sessions will examine current technologies and real needs driven by risks and requirements to meet legal or other standards.
The Summit will consist of a series of virtual sessions (over video conference calls) and a 2-day face-to-face Symposium. Each track will consist of two sessions: one session will be in the first track session series and the other will be in the second track session series. All sessions are on Wednesdays starting at 12:00pm US Eastern Time. The sessions are normally for one hour, with the option for a longer session as appropriate. All sessions are recorded, and the videos are publicly available for downloading and viewing. A chat session is maintained, and it is also published. Slide presentations are published if permitted by the authors. For more information see http://bit.ly/2zzyX6s.
The sessions are synthesized into a collaboratively developed Communiqué which will be submitted for publication to the Journal of Applied Ontology.
If you wish to speak at one of the track sessions or at the symposium, please submit the following to [email protected]:
1. Title
2. Abstract
3. The track(s) to which your presentation is applicable
4. The dates you are available to speak
All submissions will be reviewed by all members of the Program Committee. Submissions are due on 28 November 2018. Notification of acceptance/rejection will be sent by 5 December 2018.
Tracks
1. Commonsense
2. Narrative
3. Financial Explanations
4. Medical Explanations
5. Explainable AI
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