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.
• 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.
We solicit position/full (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.
• 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
• 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 firstname.lastname@example.org.