DESCRIPTION The purpose of the Statistical Relational AI (StarAI) workshop is to bring together researchers and practitioners from three fields: logical (or relational) AI/learning, probabilistic (or statistical) AI/learning and neural approaches for AI/learning with knowledge graphs and other structured data. These fields share many key features and often solve similar problems and tasks. Until recently, however, research in them has progressed independently with little or no interaction. The fields often use different terminology for the same concepts and, as a result, keeping up and understanding the results in the other field is cumbersome, thus slowing down research. Our long term goal is to change this by achieving synergy between logical, statistical and neural AI. As a stepping stone towards realising this big-picture view on AI, we are organizing the Tenth International Workshop on Statistical Relational AI at IJCAI 2022, July 22-23, 2022.
TOPICS StarAI is currently provoking a lot of new research and has tremendous theoretical and practical implications. The focus of the workshop will be on general-purpose representation, reasoning and learning tools for StarAI as well as practical applications. Specifically, the workshop will encourage active participation from researchers in the following communities, and integration thereof: satisfiability, knowledge representation, constraint satisfaction and programming, (inductive) logic programming, graphical models and probabilistic reasoning, statistical learning, relational embeddings, neural-symbolic integration, graph mining and probabilistic databases. It will also actively involve researchers from more applied communities, such as natural language processing, information retrieval, vision, semantic web and robotics. We seek to invite researchers in all subfields of AI to attend the workshop and to explore together how to reach the goals imagined by the early AI pioneers. FORMAT StarAI will be a one day workshop with short paper presentations, a poster session, and three invited speakers. ATTENDANCE: open to all SUBMISSION REQUIREMENTS Authors should submit either: - a full paper reporting on novel technical contributions or work in progress (AAAI style, up to 7 pages excluding references), - a short position paper (AAAI style, up to 2 pages excluding references), - an already published work (verbatim, no page limit, citing original work) in PDF format via EasyChair. All submitted papers will be carefully peer-reviewed by multiple reviewers and low-quality or off-topic papers will be rejected. SUBMISSION DEADLINE: May 13, 2022 SUBMIT TO https://easychair.org/my/conference?conf=starai22 WORKSHOP COMMITTEE: Sebastijan Dumančić (TU Delft) Angelika Kimmig (KU Leuven) David Poole (UBC) Jay Pujara (USC) WORKSHOP URL http://www.starai.org
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