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RATIC 2016 : Workshop on Reasoning about Time in CBR

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Link: http://research.idi.ntnu.no/cbr/ratic-2016/
 
When Oct 31, 2016 - Oct 31, 2016
Where Atlanta, Georgia
Abstract Registration Due Aug 24, 2016
Submission Deadline Aug 31, 2016
Notification Due Sep 14, 2016
Final Version Due Sep 28, 2016
Categories    artificial intelligence   case-based reasoning   data streams   similarity
 

Call For Papers

Workshop Description

This workshop is dedicated to time in case-based reasoning and how time is dealt with in all aspects of it. The literature on case-based reasoning that takes time into account is broad. Still, there are aspects that have not been given much consideration. Reasoning about time drives the complexity of AI systems, but with the increasing amount of streaming and event-based data, this complexity has to be dealt with, also in CBR. The aim is to refocus the CBR community's attention to temporal reasoning, as the focus has moved away lately even though the number of temporal CBR applications is increasing. Several open problems exist in temporal CBR, and these contain among others temporal revise and CBR on data streams.

Three previous workshops on applying case-based reasoning to time series prediction have been organized at ICCBR. This workshop is a continuation - in spirit - to the workshops on applying CBR to time-series prediction that was organized in 2003, 2004 and 2014.

The goal for this workshop is to broaden the focus from time-series prediction only to other aspects of temporal reasoning. We believe that reasoning about time is a central challenge in CBR and that it deserves more attention from the broader community.

We plan both a keynote and a plenum discussion about some important topics related to temporal CBR. The keynote and the topics for the plenum discussion will be posted on this page when setteld.

We particularly welcome contributions in areas that include, but are not limited to, the following:

Theoretical aspects of temporal CBR,
Representation of time in cases,
Similarity metrics for temporal comparison of cases and features,
Temporal reasoning using CBR,
Time-series and CBR,
Applications that perform temporal CBR,
Hybrid systems that perform temporal reasoning that include CBR,
Time in Case-Based Retrieval,
Time in Case-Based Reuse,
Time in Case-Based Revise,
Time in Case-Based Retain,
Time in Case-Based Maintenance,
Time and traces,
Event-based temporal CBR systems,
Temporal abstractions and CBR,
Time in CBR and games,
Time in contextual CBR,
Time in case-based maintenance.
We encourage everyone to make the research presented at this workshop reproducible. This means making the source code, the data and the experiments available to the workshop participants specifically and research community in general if possible. This is not required, only encouraged.

Submission

All papers are to be submitted via the ICCBR-16 EasyChair system and can be submitted here. Papers should be in Springer LNCS format. Author's instructions, along with LaTeX and Word macro files, are available at Springer's website.

Submissions should be original papers that have not already been published elsewhere. However, papers may include previously published results that support a new theme, as long as all past publications are fully referenced.

Two types of papers will be accepted:

10 page full submissions
4 page position papers
We would like the title of the paper and some keywords to be submitted about a week before the deadline so that we can start the reviewer bidding process.


Co-Organizers

Odd Erik Gundersen, Norwegian University of Science and Technology (NTNU)
Kerstin Bach, Norwegian University of Science and Technology (NTNU)

You can reach the workshop organizers at firstname_[at]_idi-dot-ntnu-dot-no (change _[at]_ with @ and -dot- with a .).

Program Committee Members

Amélie Cordier, Claude Bernard Université Lyon 1, France
Mirjam Minor, Johann Wolfgang Goethe-Universität Frankfurt, Germany
Stefania Montani, University of Piemonte Orientale, Italy
Miltos Petridis, University of Brighton, UK

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