-------- Original-Nachricht -------- Betreff: [WI] CfP: Special Issue in Knowledge-Based Systems: Enhancing Experience Reuse and Lesson Learning Datum: Wed, 7 Nov 2012 11:53:53 +0100 Von: Prof. Dr. Ralph Bergmann bergmann@uni-trier.de An: wi@aifb.uni-karlsruhe.de Kopie (CC): bergmann@uni-trier.de
(Apologies for cross-postings of this announcement.)
CALL FOR PAPERS
===============
SPECIAL ISSUE IN KNOWLEDGE-BASED SYSTEMS ON
ENHANCING EXPERIENCE REUSE AND LESSON LEARNING
CONTEXT
=======
Knowledge-based systems (KBS) intend to provide end-users with knowledge
access and reasoning in specific subject domains. One of the main objectives
of KBS is to share expert knowledge and to enhance knowledge reuse and
learning. From a technical point of view, such systems generally incorporate,
at least, a knowledge base, an inference engine, and a user interface.
However, the elaboration of knowledge models issued from expert interviews
and/or from document repositories is known to be a difficult and expensive
task. For the last few years, alternative approaches for knowledge-based
systems elaboration have been explored to overcome this difficulty. They
focus on the representation and reuse of experiences, which can be defined
as knowledge in action, knowledge used during the achievement of a particular
task. These approaches favor contextualized, shared and reusable, lessons-
learned oriented knowledge engineering.
Contextualization: experiences closely relate to actual activities.
Contextual information (a context consists of a set of facts and a
description of an environment within which those facts are believed to be
true) can easily be modeled and linked to relevant knowledge that may be
either used or produced by activities.
Sharing: an important issue of experience-based systems is to facilitate
the sharing of experiences over time (from one project to another for
instance) and over space (from an organization to another for instance).
Since actors contribute to activities with their viewpoints and with
specialized skills and knowledge it is important to share experiences
and to promote collaborative reuse.
Reuse: the reuse of experiences is a key inference mechanism for practical
experience-based systems. These mechanisms should enable to find appropriate
experiences that have been already capitalized and to integrate them in
current activities and roles.
Lessons-learning: fragments of knowledge collected over time and space should
be analyzed to produce more general knowledge such as best practices and
lessons-learned.
From a practical point of view, effective experience reuse and
lessons-learned
are increasingly important assets of enterprises and represent sources of
competitive advantages in various domains such as systems design and engineering,
quality management, maintenance, dependability engineering, risk management,
diagnosis, planning and project management, etc.
From a technical point of view, different underlying models and techniques
have been elaborated and used to improve knowledge contextualization and
facilitate its reuse such as case-based and trace-based reasoning, experience
feedback and lessons-learned systems.
AIMS AND SCOPE
==============
This special issue aims at:
- focusing on the formalisms and tools that are relevant to model experiences
and facilitate their reuse,
- providing an overview on theoretical and empirical research related to
experience-based systems and lessons-learned systems,
- gathering research works from multiple disciplines (information system,
artificial intelligence, industrial engineering, medical services or else...)
with applications and to compare worldwide approaches and practices.
However, this special issue will not focus on research on processing of
statistical data (monitored process data), data mining, or data warehousing
since these approaches are not directly based on the formalization of
experience produced by human activity.
RELEVANT TOPICS
===============
Examples of interesting topics are (but are not limited to):
- Formalization of experiences (or traces, episodes, evidences...);
- Formalization of case studies;
- Reuse and generalization of experiences;
- Reasoning with experience, particularly case-based reasoning,
trace-based systems, agent-based approaches, ontologies, conceptual
graphs, rough sets, Belief theory...
- E-learning approaches based on learning experiences
- Interoperability and integration of different lessons learned systems
and experience management systems
- Integration of lessons learned and experience management systems in
information systems such as PLM, CAD, CSCW systems.
IMPORTANT DATES
===============
Submission deadline: 30 January 2013
First notification: 15 May 2013
Re-submission: 15 September 2013
Second notification and final acceptance: 15 December 2013
Camera-ready: January 2014
RECOMMENDATIONS TO THE AUTHORS
==============================
- Contributions are invited in the form of original high-quality research
and review papers (preferably no more than 20 double line spaced manuscript
pages, including tables and figures), following the formatting style for
Elsevier.
- A submission that has already been published in conference proceedings has
to be submitted as more than 35% update in comparison to the published
version.
- The title page should not include name, affiliation, and e-mail address of
the authors.
- All paper have to be submitted through the journal electronic submission
EES, http://ees.elsevier.com/knosys/.
Full recommendations are available in KBS or Elsevier websites:
http://www.journals.elsevier.com/knowledge-based-systems/
http://www.elsevier.com/wps/find/journaldescription.cws_home/525448/authorin...
GUEST EDITORS
=============
Prof. Eric Bonjour, Université de Lorraine, France, eric.bonjour@univ-lorraine.fr
Prof. Laurent Geneste, ENIT, France, laurent.geneste@enit.fr
Prof. Ralph Bergmann, University of Trier, Germany, bergmann@uni-trier.de
_______________________________________________________________________
Prof. Dr. Ralph Bergmann Office: + 49 651 201 3876
University of Trier Sekr.: + 49 651 201 3875
Department of Business Information Systems II Fax: + 49 651 201 3396
54286 Trier, Germany
E-Mail: bergmann@uni-trier.de mailto:bergmann@uni-trier.de
Web: www.wi2.uni-trier.de http://www.wi2.uni-trier.de/
_______________________________________________________________________