In
conjunction with the
26th International Conference on Data Engineering (ICDE 2010)
Workshop Program
5th March, 2010
01:30-01:45 Opening Remarks
01:45-03:00 Keynote-1: Dan Wolfson (IBM Distinguished Engineer).
03:00-03:30 Coffee Break
03:30-05:00 New Architectures and Models (30 mins presentation)
6th March, 2010
08:00-08:30 Breakfast
08:30-10:00 Keynote-2: Craig Knoblock (University of Southern California)
10:00-10:30 Coffee Break
10:30-12:00 Applications (22 mins presentation)
12:00-01:30 Lunch
01:30-03:00 New Primitives and Techniques (30 mins presentation)
03:00-03:15 Brief Concluding Remarks
Workshop Goals
Virtually every enterprise, scientific domain, or health care provider
will assert that information integration is their most pressing
information technology need. Despite the fact that research in data
integration has been going on for over 20 years, we see few success
stories from the real world.
There are many reasons for this: perhaps predominantly that (1)
integration encompasses a wide variety of tasks and domains, and there
is a delicate balance between general solutions and domain-specific
ones; and (2) general solutions typically require a combination of
techniques from a range of communities, including databases,
information retrieval, machine learning, and knowledge representation
or Semantic Web. For instance, integrating contact center call
transcripts with structured (transaction and profile) data in real-time
requires efficient techniques which can work on noisy transcribed data,
integrating Web data may need to deal with adversarial content
providers, and integrating genetic data may require similarity matching
on gene sequences.
In recent years there has been a new emphasis on best-effort systems
that combine automated approaches with user refinement or feedback, on
integration techniques that combine the traditional stages of
integration, and on using machine learning and other techniques with
database concepts to address the needs of integration. These new
approaches, generally targeting certain subclasses of the information
integration problem, are highly promising.
The aim of the workshop is to encourage researchers from the information integration community to present novel issues and techniques related to applying information integration in different areas (especially in the context of integrating structured and unstructured data). The workshop will serve as a confluence of new ideas that will help drive research in the area of information integration from being ?generic? to being more focused, interactive, and realistic. We invite papers from researchers and practitioners working in information integration, data warehousing, privacy and trustworthy data systems and related areas to submit their original papers in this workshop. The main topics include, but are not limited to:
Laura Haas (IBM Almaden Research Center, USA)
Zachary Ives (University of Pennsylvania, USA)
Manish A Bhide (IBM Research, India)
Sumit Negi (IBM Research, India)
Michael J Cafarella (University of Michigan, USA)
Yi Chen (Arizona State University, USA)
Kevin Chang (UIUC, USA)
Anish Das Sarma (Yahoo Research, USA)
Luna Dong (AT&T Research, USA)
Christoph Koch (Cornell University, USA)
Ullas B Nambiar (IBM Research, India)
Felix Naumann (Hasso Plattner Institute, Germany)
Michalis Petropolous (University at Buffalo, USA)
Evaggelia Pitoura (University of Ioannina, Greece)
Prasan Roy (Independent Consultant, India)
Michael Schrefl (JKU Linz, Austria)
Kohichi Takeda (IBM Research, Japan)
Millist Vincent (University of South Australia, Australia)
Ji-Rong Wen (Microsoft Research Asia, China)
Xiaofang Zhou (University of Queensland, Brisbane)