- From: Hinkelmann Knut <knut.hinkelmann@fhnw.ch>
- Date: Thu, 5 Nov 2020 15:07:36 +0000
- To: "semantic-web@w3.org" <semantic-web@w3.org>
- Message-ID: <600d697eb0c24004a74fabd3712910f8@fhnw.ch>
AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021) March 22-24, 2021 - virtual https://www.aaai-make.info<https://amxe.net/7z9bgaxf-i29pcc52-kxuge8tj-qth> | Extended Submission Deadline: 30th of November 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<https://amxe.net/7z9bgaxf-i29pcc52-mmard29y-152k>. 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<https://amxe.net/7z9bgaxf-i29pcc52-qfg90d5y-mp8>). All submissions must reflect the formatting instructions (https://www.aaai-make.info/authors<https://amxe.net/7z9bgaxf-i29pcc52-s99sce9v-upk>) 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: 30th of November 2020 (extended) * Notification of authors: 10th of January 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<mailto:mail@aaai-make.info>. ----------------------------------------------------------------------------------- FHNW University of Applied Sciences and Arts Northwestern Switzerland School of Business - Intelligent Information Systems<https://www.fhnw.ch/de/die-fhnw/hochschulen/hsw/iwi/intelligent-information-systems> Prof. Dr. Knut Hinkelmann Head of MSc in Business Information Systems<https://www.fhnw.ch/en/degree-programmes/business/msc-bis> Deputy Head of MSc in Medical Informatics<https://www.fhnw.ch/en/degree-programmes/lifesciences/master/medical-informatics> Riggenbachstrasse 16 4600 Olten, Switzerland ----------------------------------------------------------------------------------- T +41 62 957 23 01 M +41 78 896 84 24 knut.hinkelmann@fhnw.ch<mailto:knut.hinkelmann@fhnw.ch> www.fhnw.ch/business/msc-bis<http://www.fhnw.ch/business/msc-bis> ------------------------------------------------------------------------- Homepage: knut.hinkelmann.ch<http://knut.hinkelmann.ch/index-e.php> Innovation comes only from readily and seamlessly sharing information rather than hoarding it. (Tom Peters)
Received on Thursday, 5 November 2020 15:07:58 UTC