W3C home > Mailing lists > Public > public-semweb-lifesci@w3.org > November 2005

Call for Participation: IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous, Semantically Heterogeneous Data and Knowledge Sources

From: Doina Caragea <dcaragea@iastate.edu>
Date: Thu, 3 Nov 2005 09:29:55 -0600
Message-Id: <BC8FEEE8-9938-4C11-9B5B-C736C1E8A74D@cs.iastate.edu>
Cc: ontoweb-list@lists.deri.org, agents@cs.umbc.edu, ontology@listserv.ieee.org, kaw@science.uva.nl, ml@isle.org, DISTRIBUTED-AI@JISCMAIL.AC.UK, protege-owl@smi.stanford.edu, semanticweb@yahoogroups.com, kweb-all@lists.deri.org, seweb-list@lists.deri.org, ml@ics.uci.edu, news-announce-conferences@uunet.uu.net, dai-list@mcc.com, community@mlnet.org
To: public-semweb-lifesci@w3.org

Apologies for multiple postings



IEEE Workshop on Knowledge Acquisition from Distributed, Autonomous,  
Semantically Heterogeneous Data and Knowledge Sources
Half-day workshop held from 1:15 to 6pm on November 27, 2005,  
Houston, Texas, USA

In conjunction with The Fifth IEEE International Conference on Data  
Mining, Houston, Texas, USA, November 27-30, 2005




INVITED SPEAKER: Dr. Bertram Ludaescher

"Scientific Data Integration: From the Big Picture to some Gory Details"

ABSTRACT. Many scientific disciplines, ranging from nuclear physics,  
computational chemistry, geoinformatics, bioinformatics, ecoinformatics,
to astronomy and cosmology are highly dependent on effective and  
ways to manage and integrate scientific data. In this talk, I will focus
on the scientific data integration challenges from two large-scale  
projects, the Geosciences Network (GEON), which is building
"cyberinfrastructure" and tools for the geosciences community, and the
Science Environment for Ecological Knowledge (SEEK) having a similar
mission to enable data integration and analysis for the ecological
sciences. Looking at the big picture, it turns out that data integration
is only one aspect of a set of larger scientific data management and
analysis challenges. Technologies in support of design and execution of
scientific workflows, including knowledge-based approaches, are  
to address these larger issues. While interest in scientific  
workflows is
gaining momentum, many of the gory details still require considerable
attention and research effort. In the second part of this talk, I will
drill-down into some of these issues, such as the use of knowledge
representation techniques to support data integration and scientific
workflow design and their relation to current data integration  
studied by the database community.

ABOUT THE SPEAKER.  Dr. Ludaescher is an Associate Professor in the
Department of Computer Science at UC Davis, faculty member of the UC  
Genome Center, and Fellow of the San Diego Supercomputer Center, UC San
Diego. His primary research interests are in scientific data management,
in particular scientific data integration, scientific workflow  
and knowledge-based extensions thereof.  Until his move to Davis, he  
was a
member of the NIH-funded Biomedical Informatics Research Network
Coordination Center (BIRN-CC) at UC San Diego, focusing on database
mediation and knowledge representation issues. He is actively  
involved in
several large-scale, collaborative scientific data management projects,
i.e., the DOE Scientific Data Management Center (SciDAC/SDM), the NSF/ 
Science Environment for Ecological Knowledge (SEEK), and NSF/ITR
Geosciences Network (GEON).  Dr. Ludaescher received his MS in Computer
Science from the Technical University of Karlsruhe in 1992 and his  
PhD in
Computer Science from the University of Freiburg in 1998 (both in
Germany). From 1998 to 2004 he worked as a researcher at the San Diego
Supercomputer Center, at the end as a lab director for Knowledge-Based
Information Systems.



* Supporting Query-driven Mining over Autonomous Data Sources

   Seung-won Hwang

* Combining Document Clusters Generated from Syntactic and Semantic  
Feature Sets using Tree Combination Methods

   Mahmood Hossain, Susan Bridges, Yong Wang and Julia Hodges

* Automatically Extracting Subsequent Response Pages from Web Search  

   Dheerendranath Mundluru, Zonghuan Wu, Vijay Raghavan,  Weiyi Meng  
and Hongkun Zhao

* Collaborative Package-Based Ontology Building and Usage

   Jie Bao and Vasant Honavar

* OntoQA: Metric-Based Ontology Quality Analysis

   Samir Tartir, I. Budak Arpinar, Michael Moore, Amit P. Sheth and  
Boanerges Aleman-Meza

* A Heuristic Query Optimization for Distributed Inference on Life- 
Scientific Ontologies

   Takahiro Kosaka, Susumu Date, Hideo Matsuda and Shinji Shimojo



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.



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


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


For more information, please visit the workshop page at:



We look forward to meeting you in Houston!

Received on Thursday, 3 November 2005 15:46:53 UTC

This archive was generated by hypermail 2.3.1 : Wednesday, 7 January 2015 14:52:23 UTC