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AAAI 2021 Spring Symposium on
Combining Machine Learning and Knowledge Engineering (AAAI-MAKE
2021)
March 22-24, 2021 @ Stanford University, Palo Alto, California,
USA
https://www.aaai-make.info | Submission: November 1, 2020
AAAI-MAKE 2021 brings together practitioners and researchers from
various
companies, research centers, and academia of machine learning and
knowledge
engineering working together on joint AI that is being explainable
and
grounded in domain knowledge.
Topics
• Enterprise AI
• Machine Learning
• Knowledge Engineering and Management
• Knowledge Representation and Reasoning
• Hybrid AI
• Explainable AI
• Conversational AI
• Deep Learning and Neural Networks
• Rule-based Systems
• Recommender Systems
• Scene Interpretation Systems
• Ontologies and Semantic Web
• Data Science
Use cases, application scenarios, and requirements from the
industry would be
highly beneficial and most welcome. Since AAAI-MAKE is a dedicated
symposium
on the combination of machine learning and knowledge engineering,
the
contributions shall address both AI domains. For more details, see
the
following webpage:
https://www.aaai-make.info.
Submission
We solicit position/full papers (5 to 12 pages) and short papers
(2 to 4
pages) that can include recent or ongoing research, business
cases,
application scenarios, and surveys. Furthermore, proposals for
industrial
side-tutorial events, demonstrations, and (panel) discussions are
very welcome
too.
Please submit through EasyChair
(
https://easychair.org/conferences/?conf=sss21).
All submissions must reflect the formatting instructions
(
https://www.aaai-make.info/authors) and will be reviewed by the
program
committee. Accepted and camera-ready papers shall be published on
the
established open-access proceedings site CEUR-WS.
Important Dates
• Submission due: 1st of November 2020
• Notification of authors: 9th of December 2020
• Registration: 12th of February 2021
• Camera-ready: 19th of February 2021
• Symposium: 22-24 of March 2021
Organizing Committee
• Hans-Georg Fill, University of Fribourg, Switzerland.
• Aurona Gerber, University of Pretoria, South Africa.
• Knut Hinkelmann (co-chair), FHNW University of Applied Sciences
and
Arts Northwestern Switzerland.
• Doug Lenat, Cycorp, Inc., Austin, TX, USA.
• Andreas Martin (co-chair), FHNW University of Applied Sciences
and
Arts Northwestern Switzerland.
• Reinhard Stolle, Argo AI GmbH, München, Germany.
• Frank van Harmelen, VU University, Amsterdam, Netherlands.
AAAI-MAKE 2021 is part of the Spring Symposium Series of the
Association for
the Advancement of Artificial Intelligence (AAAI).
For any inquiries, please contact
mail@aaai-make.info.
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