Uncertainty and Knowledge Discovery in CBR

 

Workshop to be held as part of
ECCBR-08, 9th International Conference on Case-Based Reasoning
(Trier, Germany, September 1-4, 2008)

 

 

As a general problem solving methodology intended to cover a wide range of real-world applications, case-based reasoning must face the challenge to deal with uncertain, incomplete, and vague information, which leads to the need of suitable methods for modeling and reasoning under uncertainty, appropriately complemented by tools for learning and knowledge discovery. Correspondingly, recent years have witnessed an increased interest in formalizing parts of the CBR methodology within different frameworks of reasoning under uncertainty, and in building hybrid approaches by combining CBR with methods of uncertain and approximate reasoning and soft computing.

 

The objective of the workshop is to provide an opportunity for exchanging ideas related to the application of various techniques of uncertainty management and knowledge discovery in case-based reasoning. The workshop aims at providing a forum for the discussion of recent advances in this research field and to offer an opportunity for researchers and practitioners to identify new promising research directions.

 

The organizers welcome contributions on the use of principled methods for reasoning under uncertainty, knowledge discovery, and soft computing such as:

 

  • probabilistic reasoning and Bayesian methods,

  • fuzzy sets, possibility theory, evidence theory,

  • rough sets and information theory,

  • neural networks and evolutionary computation,

  • machine learning and data mining algorithms.

 

In case-based reasoning, including but not limited to

  • case and knowledge representation, acquisition, and modeling,

  • maintenance and management of CBR systems,

  • case indexing and retrieval,

  • similarity assessment and adaptation,

  • instance-based and case-based learning,

  • CBR applications.

 

We encourage submissions of papers that report on advances in these core areas. In addition to full papers we also encourage submissions presenting more preliminary results and discussing open problems, for example, dealing with insights or important open problems for future research derived from the construction and use of applications. Correspondingly, two types of contributions will be solicited, namely short communications (short talks) and full papers (long talks).

 

We also encourage authors to submit papers complementing possible submissions to the main ECCBR conference, for example, papers presenting preliminary extensions or explicitly focusing on unsolved problems. In this case, we only ask to inform us about the existence of a related conference submission and its title.


Submission Instructions

Papers MUST be submitted in Springer LNCS format, with a maximum of 12 pages for full and 6 pages for short papers. Authors' instructions along with LaTeX and Word macro files are available on the web at

http://www.springer.de/comp/lncs/authors.html.

Papers should be submitted in pdf or ps format to Eyke Hüllermeier

Accepted workshop papers will appear in the workshop proceedings.
 

 

Important Dates

Jun 22, 2008 Deadline for workshop paper submission
Jul 11, 2008 Notification of acceptance for workshop papers
Jul 25, 2008 Final camera ready copies due
Sep 1-4, 2008 Workshops held at ECCBR 2008
 

Workshop Chairs

  • Eyke Hüllermeier, Dept. of Mathematics and Computer Science, University of Marburg, Germany

  • Michael Richter, Dept. of Computer Science, University of Calgary, Canada

  • Rosina Weber, The iSchool at Drexel, Philadelphia, USA