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When Sep 28, 2015 - Sep 30, 2015
Where Frankfurt, Germany
Submission Deadline Jun 15, 2015
Notification Due Aug 4, 2015
Final Version Due Aug 25, 2015
Categories    artificial intelligence   case-based reasoning   cloud computing   computer science

Call For Papers


The state we envision is a CBR researcher who delivers all her work in this virtual space for CBR research. She finds a scientific workflow (Gil et al. 2007) that interests her. She accesses various data sources, including the data sets used by the authors of that scientific workflow, runs all validation studies again and thinks of a potential improvement. She then adapts that scientific workflow by adding a step that accesses ontologies thus modifying the workflow. She runs the new workflow in various data sets, runs validation services and finds results that are significantly superior to the previous. She can now the call paper drafting service that asks as input to link to background and motivation workflows and to proposed workflows, data sets and validation services. The draft includes bibliographic references for the existing workflows and data sets (that now are cited as papers) and writes her submission in any style she wants. Her work is fully reproducible and accessible by other members of the community.

This context requires cyberinfrastructure (Atkins 2003), which is the infrastructure for eScience. e-CBR refers to computational infrastructure for CBR research and applications, where computational, data, and service resources are shared.

Building infrastructure for CBR research implies promoting CBR as a methodology for scientific practice. CBR research can advance in synergy with other scientific fields (Gil et al. 2014) once CBR is ready to contribute solving grand challenges. Grand challenges (Omenn 2006) are problems that might only be solved with interdisciplinary teams of researchers. Examples of grand challenges include questions about environmental and social resilience and strategies that preserve rights, privacy, safety, and security.


We invite two submission types, papers and statements of interest. Both should be formatted according to the ICCBR 2015 formatting instructions.

Papers should be limited to 10 pages and statements to 3 pages.


In order for e-CBR to produce its intended results, many research questions need to be answered. Fortunately, important steps have been taken in this direction. For example, the community is already contributing open access tools for CBR development (e.g., jCOLIBRI); methodologies for managing workflows (e.g., Minor et al. 2014); similarity measure studies to retrieve workflows (Bergman & Gil 2014), approaches for multi CBR (2001), and big CBR (Leake 2013).

The goals of this workshop are to gather community members interested in discussing (presenting and learning) potential directions and research questions, including recent research relevant to e-CBR including challenges and impediments to building cyberinfrastructure for CBR.

Contributions to this workshop may include various categories of submissions, namely eScience for CBR (e.g., Leake & Kendall-Morwick 2008), CBR for eScience (e.g., Nassif et al. 2007), contributions that can benefit or require cyberinfrastructure (e.g., Koo et al. 2013) and collaborative projects. Some example areas are:
* Data (e.g., data access, data sharing, data curation, metadata)
* CBR Cycle
* Reproducibility
* Validation & Verification
* Economic models
* Workflow management
* Shared/linked repositories
* Service oriented CBR tools
* Networked Ontologies
* Proposed collaborative project
* Grid
* Linked data
* Cloud computing
* Ethics
* Conferences
* Submission Drafting
* Recommender services
* Knowledge services

. 15 JULY 2015: Submissions due
. 4 AUGUST 2015: Acceptance decisions announced . 25 AUGUST 2015: Camera-ready versions due . 20 SEPTEMBER 2015: Papers and agenda placed online . 28 SEPTEMBER 2015: Workshop

. David W. Aha (NRL, USA)
. Kerstin Bach (Norwegian University of Science and Technology, Norway)
. Odd Erik Gundersen (Norwegian University of Science and Technology, Norway)
. Pedro Gonzalez Calero (Complutense University of Madrid, Spain)
. David Leake (Indiana University, USA)
. Hector Munoz (Lehigh University/NSF, USA)
. Santiago Ontanon (Drexel University, USA)
. Pinar Ozturk, (Norwegian University of Science and Technology, Norway)
. Enric Plaza (IIIA, Artificial Intelligence Research Institute CSIC, Spain)
. Luigi Portinale (University of Piemonte Orientale, Italy)
. Rosina Weber, (Drexel University, USA)
. Ian Watson (University of Auckland, New Zealand)

Please contact workshop co-chairs if you have any questions:
Pinar Ozturk (Norwegian University of Science and Technology, Norway) Rosina Weber (Drexel University, USA)

Related Resources

ICCBR 2016   International Conference on Case Base Reasoning
ICML 2017   34th International Conference on Machine Learning
CBR@FLAIRS 2017   FLAIRS-30 Special Track on Case-Based Reasoning
IJCAI 2017   International Joint Conference on Artificial Intelligence
EJEAP - 4 2016   European Journal of Education and Applied Psychology
IJE 2016   International Journal of Education
IROS 2017   IEEE/RSJ International Conference on Intelligent Robots and Systems
PAKDD 2017   The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining
RATIC 2016   Workshop on Reasoning about Time in CBR
IJCNN 2017   International Joint Conference on Neural Networks