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STARAI 2022

Eleventh International Workshop on Statistical Relational AI



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 a synergy between logical, statistical and neural AI.
As a stepping stone towards realizing this big picture view on AI, we are
organizing the Eleventh International Workshop on Statistical Relational AI at
the International Joint Conference on Artificial Intelligence (IJCAI) 2022 in
Vienna, July 22th to 23th 2022.


PRACTICAL


FORMAT

StarAI will be a one day workshop with short paper presentations, a poster
session, and three invited speakers.


SUBMISSIONS

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), or 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. Accepted papers will be presented as a short talk and
poster.


IMPORTANT DATES

 * Paper Submission: May 13, 2022
 * Notification of Acceptance: June 3, 2022
 * Camera-Ready Papers: June 17, 2022
 * Date of Workshop: TBA


SCHEDULE




ACCEPTED PAPERS


ORGANIZATION


ORGANIZING COMMITTEE

For comments, queries and suggestions, please contact:
 * Sebastijan Dumancic (TU Delft) 
 * Angelika Kimmig (KU Leuven) 
 * David Poole (UBC) 
 * Jay Pujara (USC) 


TOPICS

StarAI is currently provoking a lot of new research and has tremendous
theoretical and practical implications. Theoretically, combining logic and
probability in a unified representation and building general-purpose reasoning
tools for it has been the dream of AI, dating back to the late 1980s.
Practically, successful StarAI tools will enable new applications in several
large, complex real-world domains including those involving big data, social
networks, natural language processing, bioinformatics, the web, robotics and
computer vision. Such domains are often characterized by rich relational
structure and large amounts of uncertainty. Logic helps to effectively handle
the former while probability helps her effectively manage the latter. 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.

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: satisfiability (SAT), knowledge representation (KR),
constraint satisfaction and programming (CP), (inductive) logic programming (LP
and ILP), graphical models and probabilistic reasoning (UAI), statistical
learning (NeurIPS, ICML, and AISTATS), graph mining (KDD and ECML PKDD) and
probabilistic databases (VLDB and SIGMOD). It will also actively involve
researchers from more applied communities, such as natural language processing
(ACL and EMNLP), information retrieval (SIGIR, WWW and WSDM), vision (CVPR and
ICCV), semantic web (ISWC and ESWC) and robotics (RSS and ICRA).


LINKS


PREVIOUS WORKSHOPS

Previous StarAI workshops were held in conjunction with AAAI 2010, UAI 2012,
AAAI 2013, AAAI 2014, UAI 2015, IJCAI 2016, UAI 2017 and IJCAI 2018 and were
among the most popular workshops at the conferences.

 * StarAI 2021
 * StarAI 2020
 * StarAI 2018
 * StarAI 2017
 * StarAI 2016
 * StarAI 2015
 * StarAI 2014
 * StarAI 2013
 * StarAI 2012
 * StarAI 2010


RELATED VENUES

 * Banff Workshop on New Perspectives for Relational Learning - 2015
 * SRL 2012, SRL 2009, SRL 2006, SRL 2004, SRL 2003, and SRL 2000
 * NIPS Workshop on Probabilistic Programming - 2008
 * Dagstuhl Seminar on Probabilistic, Logical and Relational Learning - 2007,
   2005
 * Neural-Symbolic Learning and Reasoning