posted by organizer: aaaimake || 14323 views || tracked by 52 users: [display]

AAAI-MAKE 2019 : AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering


When Mar 25, 2019 - Mar 27, 2019
Where Stanford University, Palo Alto, CA, USA
Submission Deadline Nov 18, 2018
Notification Due Dec 7, 2018
Final Version Due Feb 22, 2019
Categories    artificial intelligence   machine learning   knowledge engineering

Call For Papers

AAAI-MAKE 2019 brings together researchers and practitioners from various communities of machine learning and knowledge engineering working together on joint AI that is explainable, compliant and grounded in domain knowledge.

* Knowledge Representation and Reasoning
* Ontologies
* Rule-based systems
* Semantic Web
* Machine Learning
* Deep Learning
* Neural Networks
* Knowledge Engineering and Management
* Causal Explainability
* Learning and Cause & Effect Relationships
* Learning Ontologies
* Using Knowledge to Guide Machine Learning

For more details, see the following webpage:

We solicit full papers, position papers, and poster abstracts on topics related to the above and can include recent or ongoing research, surveys, and business/use cases. Furthermore, proposals for (panel) discussions and demonstrations are very welcome too.

* Full papers (up to 12 pages) and position papers (3 to 5 pages) will be peer-reviewed.
* Posters can be proposed by submitting an extended abstract (1 to 2 pages).
* Discussion proposals (1 to 2 pages) should contain a description of the specific topic with a list of questions and a discussion moderator. For a panel discussion, a list of agreed panel-members should be mentioned.
* Demonstration proposals (1 to 2 pages) should have a focus on research and business related to the symposium excluding undesired product presentation and advertising.

Please submit through EasyChair (

All submissions should reflect the AAAI formatting instructions and will be reviewed by the program committee. Accepted and camera-ready papers will be published on the established open access proceedings site CEUR-WS (pre-prints may be published on arXiv and Zenodo). Authors must grant a publication permission prior symposium and present the paper at the symposium to get it published.

* Extended submission due: 18th of November 2018
* Notification of authors: 7th of December 2018
* Registration: 8th of February 2019
* Camera-ready: 22nd of February 2019
* Symposium: 25-27 of March 2019

* Peter Clark, Allen Institute for Artificial Intelligence, Seattle, WA, USA.
* 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 and main contact), FHNW University of Applied Sciences and Arts Northwestern Switzerland.
* Frank van Harmelen, VU University, Amsterdam, Netherlands.

AAAI-MAKE 2019 is part of the Spring Symposium Series of the Association for the Advancement of Artificial Intelligence (AAAI). For any inquiries, please contact

Related Resources

Federated Learning in IOT Cybersecurity 2021   PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things
IJCAI 2022   31st International Joint Conference on Artificial Intelligence
IEEE COINS 2022   IEEE COINS 2022: Hybrid (3 days on-site | 2 days virtual)
AAAI 2021   35th AAAI Conference on Artificial Intelligence
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
AAAI 2022   The Thirty-Sixth AAAI Conference on Artificial Intelligence
AAAI-MAKE 2021   AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering
ICML 2022   39th International Conference on Machine Learning
AAAI-MAKE 2022   AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence
IEEE COINS 2022   Internet of Things IoT | Artificial Intelligence | Machine Learning | Big Data | Blockchain | Edge & Cloud Computing | Security | Embedded Systems |