[PlanetKR] Call for papers - 4th Workshop on Statistical Relational AI @ AAAI 2014

[Guy Van den Broeck]

** Apologies for multiple postings**

CALL FOR PAPERS:

AAAI-14 Workshop on Statistical Relational Artificial Intelligence
(StarAI), July 27-28 2014, Quebec City, Quebec, Canada
Workshop Webpage: http://www.starai.org/

The purpose of the Statistical Relational AI (StarAI) workshop is to bring
together researchers and practitioners from two fields: logical (or
relational) AI and probabilistic (or statistical) AI. 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 and
statistical AI. As a stepping stone towards realizing this big picture view
on AI, we are organizing the Fourth International Workshop on Statistical
Relational AI at the Twenty-Eighth AAAI Conference on Artificial
Intelligence.


PRACTICAL:

StarAI will be a one day workshop with around 50 attendees, paper
presentations and poster spotlights, a poster session, and three invited
speakers.
Those interested in attending should submit either a technical paper (AAAI
style, 6 pages maximum) or a position statement (AAAI style, 2 pages
maximum) in PDF format via the following EasyChair site:

https://www.easychair.org/conferences/?conf=starai2014

Key Dates:
  * Papers due:  Apr 10, 2014
  * Notification:  May 1, 2014
  * Camera-ready due:  May 15, 2014
  * Day of Workshop:  July 27-28, 2014

All submitted papers will be carefully peer-reviewed by multiple reviewers
and low-quality or off-topic papers will be rejected. Papers will be
selected either for a short oral presentation or a poster presentation.
For more information, please see the workshop website:
http://www.starai.org/


INVITED SPEAKERS:

Luc De Raedt (KU Leuven, Belgium)
Vibhav Gogate (UT Dallas, USA)
Henry Kautz (University of Rochester, USA)


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 (NIPS and ICML), 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 (ICSW and ESWC)
and robotics (RSS and ICRA).


ORGANIZING COMMITTEE:

Guy Van den Broeck (UCLA, KU Leuven, guyvdb at cs.ucla.edu)
Kristian Kersting (TU Dortmund, Fraunhofer IAIS,
kristian.kersting at iais.fraunhofer.de)
Sriraam Natarajan (Indiana University, natarasr at indiana.edu)
David Poole (University of British Columbia, poole at cs.ubc.ca)
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