CFP: IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous, Semantically Heterogeneous Data and Knowledge Sources

CALL FOR PAPERS

IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous,  
Semantically Heterogeneous Data and Knowledge Sources
(http://www.cild.iastate.edu/events/ICDM2005Workshop.html)

Organized in conjunction with The Fifth IEEE International Conference  
on Data Mining, New Orleans, Louisiana, USA, 2005
(http://www.cacs.louisiana.edu/~icdm05/)


Workshop Goals

The workshop aims to bring together researchers in relevant areas of  
artificial intelligence (machine learning, data mining, knowledge  
representation, ontologies), information systems (information  
integration, databases, semantic Web), distributed computing, and  
selected application areas (e.g., bioinformatics, security  
informatics, environmental informatics) to address several questions  
that arise in the process of knowledge acquisition from distributed,  
autonomous, semantically heterogeneous data and knowledge sources.

Topics of Interest

Topics of interest include, but are not restricted to:
•    Challenges presented by emerging data-rich application domains  
such as bioinformatics, health informatics, security informatics,  
social informatics, environmental informatics.
•    Knowledge discovery from distributed data (assuming different  
types of data fragmentation, e.g., horizontal or vertical data  
fragmentation; different hypothesis classes, e.g., naïve Bayes,  
decision tree; different performance criteria, e.g., accuracy versus  
complexity versus reliability of the model generated, etc.).
•    Making semantically heterogeneous data sources self-describing  
(e.g., by explicitly associating ontologies with data sources and  
mappings between them) in order to help collaborative science .
•    Representation, manipulation, and reasoning with ontologies and  
mappings between ontologies.
•    Learning ontologies from data (e.g., attribute value taxonomies).
•    Learning mappings between semantically heterogeneous data source  
schemas and between their associated ontologies.
•    Knowledge discovery in the presence of ontologies (e.g.,  
attribute value taxonomies) and partially specified data (data  
described at different levels of abstraction within an ontology)?
•    Online query relaxation when an initial query posed to the data  
sources fails (i.e., returns no tuples), or equivalently, query- 
driven mining of the individual sources that will result in knowledge  
that can be used for query relaxation.

Submission Instructions

Postscript or PDF versions of papers, no more than 10 pages long  
(including figures, tables, and references) in the ICDM camera-ready  
format (IEEE 2-column format), should be submitted electronically to  
dcaragea@cs.iastate.edu by  August  15, 2005. Each paper will be  
rigorously refereed by at least 2 reviewers for technical soundness,  
originality, and clarity of presentation. Accepted papers will be  
included in informal workshop proceedings published by ICDM and  
distributed at the workshop. Additional details about the workshop  
will be available at:

http://www.cild.iastate.edu/events/ICDM2005Workshop.html

Important Dates

Aug. 15: Paper Due
Oct. 1: Notification
Oct. 15: Camera Ready Due
Nov. 27: Workshop

Organizing Committee

Doina Caragea,  dcaragea@cs.iastate.edu
Iowa State University

Vasant Honavar, honavar@cs.iastate.edu
Iowa State University

Ion Muslea, imuslea@languageweaver.com
Language Weaver, Inc.

Raghu Ramakrishnan, raghu@cs.wisc.edu
University of Wisconsin-Madison

Program Committee

Naoki Abe, IBM
Liviu Badea, ICI, Romania
Doina Caragea, Iowa State Univ.
Marie desJardins, UMBC
C. Lee Giles, Penn State Univ.
Vasant Honavar, Iowa State Univ.
Hillol Kargupta, UMBC
Sally McClean, U. of Ulster, UK
Bamshad Mobasher – DePaul U.
Ion Muslea, Language Weaver, Inc.
C. David Page, Univ. of Wisconsin
Alexandrin Popescul - Ask Jeeves
Raghu Ramakrishnan, Univ. of Wisconsin
Steffen Staab – Univ. of Koblenz