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Intelligent
Data
Base
Workshop
2008
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Tuesday 20 May 2008
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In
conjunction with and sponsored by
ISMIS 2008,
the 17th International Symposium on Methodologies
for Intelligent Systems.
| Date & Time : |
9:15am - 6:00pm Tuesday 20 May 2008 |
| Place : |
Lecture Hall N106
Seymour Schulich Building (SSB)
York University
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| Chair : |
Parke Godfrey
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| Contact : |
idbw08@cse.yorku.ca
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An
intelligent database augments query answering to return
the most relevant information possible. It may add information
to the answers themselves to help disambiguate, or to address
misconceptions of the user. It may order answers by relevance,
based on perceived preferences of the user. It may offer a richer
query language that allows users to express more easily their
queries, new types of queries, and explicitly their preferences.
Work in intelligent databases started in the 1970's, and continues
today. The work has involved researchers from both the database
and artificial intelligence communities. It has found forums
in conferences such as ISMIS that cater to an interdisciplinary
audience. From the database perspective, the idea is to improve
database systems to make them more flexible and intuitive. From
the AI perspective, the idea is to leverage database technology
to enable and scale knowledge-base systems.
In the meanwhile, the database and AI landscapes keep evolving
rapidly. With the rise of the Web, search has taken center stage
again. Data mining has become a key research area and a major
industry. Data warehousing and business intelligence, likewise,
have become core activities for many organizations. The study
of agents looks to how complex knowledge-based tasks can be
accomplished by "simpler" active components that self organize
and coordinate.
The field of service science, management, and
engineering (SSME) has arisen as the interdisciplinary endeavor
to study, design, and implement services systems. And database
technology itself is rapidly evolving to support richer, diverse
data models (as XML) and query languages (as XQuery).
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Although diverse, these areas share common themes. Database
technology is foundational throughout, but only as one
piece of the puzzle. They involve complex architectures with
advanced algorithms, often AI based, distributed across many
components. To simplify this complexity, one looks to integrate
better the functionality needed in these applications into the
foundational technologies. This leads back to the intelligent
database paradigm.
The workshop is composed of talks by invited speakers over
topics discussed above, but with a perspective of intelligent
databases, and how the meet of database technology and AI should
evolve to address these challenges. The speakers are from
Toronto industry and academia. The workshop also has a
panel and ample discussion to involve the participants.
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Time
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Event
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Speaker
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Title
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9:15
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Welcome
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Parke Godfrey,
York University
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9:30
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Talk #1
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Stephen Perelgut,
IBM Toronto Software Lab
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IBM's View of Services Sciences, Management,
& Engineering
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10:30
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coffee break
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11:00
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Talk #2
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Michael Jenkin,
York University
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3D Crime Scene Acquisition, Representation and Analysis
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12:00
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lunch, provided (at The Underground)
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1:30
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Talk #3
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Dominik Slezak,
Infobright
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Rough Sets and Data: What's Next?
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2:30
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Talk #4
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Christiana Amza,
University of Toronto
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Dynamic Resource Allocation
in Complex Data Management Environments
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3:30
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coffee break
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4:00
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Talk #5
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Mariano Consens,
University of Toronto
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XML Retrieval
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5:00
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Panel
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Christiana Amza,
University of Toronto
Nick Cercone,
York University
Mariano Consens,
University of Toronto
Jarek Gryz,
York University
Dominik Slezak,
Infobright
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Points of Synergy: Databases & AI
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6:00
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finished
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Speakers
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Cristiana Amza
is an assistant professor in the Edward Rogers Sr.
Department of Electrical and Computer Engineering at the
University of Toronto.
She received her PhD and MS degrees in computer science
from Rice University in 2003 and 1997, respectively.
Her research interests are in the area of distributed and parallel
systems, with an emphasis on self-adaptive behavior
in dynamic content servers.
Specifically, she is investigating dynamic resource allocation
to applications in order to provide end-to-end Quality of Service in
complex server environments.
She has established an autonomic computing laboratory
providing cutting-edge research on large-scale distributed platforms.
She is actively collaborating with several industry partners,
including Bell Canada, through Bell University Labs,
IBM and Intel.
Her awards include an Early Researcher Award (2007),
an IBM Faculty Award (2006) and an Eclipse Award (2005).
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Mariano P. Consens's
research interests are in the areas of
data management systems and the Web,
with a focus on XML retrieval and autonomic systems.
Mariano received his PhD and MSc degrees in computer science
from the University of Toronto,
and his computer systems engineering degree
from the Universidad de la República, Uruguay.
He has been a faculty member in Information Engineering at the
MIE Department, University of Toronto, since 2003.
Before that,
he was research faculty at the School of Computer Science
of the University of Waterloo from 1994 to 1999.
He has been active in the software industry
as a founder and CTO of several startups.
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Michael Jenkin
is a professor in the Department of Computer Science and Engineering,
and a member of the Centre for Vision Research,
at York University, Canada.
Working in the fields of visually guided autonomous robots
and virtual reality, he has published over 150 research papers
including co-authoring
Computational Principles of Mobile Robotics
with Gregory Dudek
and a series of co-edited books
on human and machine vision with Laurence Harris.
His current research interests include work on sensing
strategies for AQUA, an amphibious autonomous robot being developed
as a collaboration between Dalhousie University, McGill University
and York University; the development of tools and techniques to
support crime scene investigation; and the understanding of the
perception of self-motion and orientation in unusual environments
including microgravity.
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Stephen Perelgut
is IBM's University Relations Manager in Canada.
He coordinates IBM's overall relationships with colleges
and universities, including research collaboration, recruiting,
sales and technology transfer.
He graduated from Engineering Science at the University of Toronto
in 1979, took a few years off to work,
and returned for an MSc in Computer Science from UofT in 1984.
His work experience includes the compiler group
at Bell-Northern Research (now Northern Telecom),
a small university spin-off (Holt Software Associates, Inc.),
and IBM where he worked on the COBOL compilers for IBM's
i-series computers
before joining the Centre for Advanced Studies.
Over the course of his career,
Stephen has chaired an NSERC Grant
Selection Committee, helped run a large,
international conference on Software Engineering,
chaired the Canadian Consortium for Software Engineering Research,
and taught courses to university undergraduates.
In his "spare" time,
Stephen researches applications of social computing technologies
in business.
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Dominik Slezak received his PhD in computer science
in 2002 from Warsaw University, Poland.
In an instructional capacity,
he has successfully supervised more than ten graduate students
in Canada and Poland.
He has pursued academic collaborations with Warsaw University,
the University of Regina,
and the Polish-Japanese Institute of Information Technology.
Currently, he is working as chief scientist for Infobright, Inc.
Dominik serves as an associate editor and reviewer for a number of
international scientific journals, and chair of several international
scientific conferences.
He has published over 50 pier-reviewed papers for books, journals,
and conference proceedings.
He has delivered a number of invited talks
in Canada, China, Egypt, India, Japan, Korea, Poland, Russia,
and the United Kingdom.
His research interests are related mainly to rough sets,
data warehousing, data mining, KDD, and bio-informatics,
as well as medical and multi-media data analysis.
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Additional Panelists & Others
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Nick Cercone
has been the dean of the Faculty of Science and Engineering,
and a professor in the Department of Computer Science & Engineering
at York University in Toronto, Ontario, Canada, since 2006.
He is the conference chair of the present ISMIS Conference.
He received his BS degree in engineering science
from the University of Steubenville in 1968,
a MS degree in computer and information science
from Ohio State University in 1970,
and a PhD in computing science
from the University of Alberta in 1975.
Previously,
Dr. Cercone was professor and dean of the Faculty of Computer Science
at Dalhousie University in Halifax, Nova Scotia, Canada.
Prior to that,
he was Chair of Computer Science at the University of Waterloo.
From 1993 until 1997,
he was Associate Vice President (Research),
Dean of Graduate Studies, and International Liaison Officer
at the University of Regina.
Formerly, he was Director of the Centre for Systems Science at
Simon Fraser University (1987-1992)
and chairman of the School of Computing Science (1980-1985)
at Simon Fraser.
Dean Cercone's research interests include natural language processing,
knowledge-based systems, knowledge-discovery in databases, data mining,
and design and human interfaces.
He is the author of over 300 refereed publications
and has graduated 70 graduate students.
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Parke Godfrey
is an associate professor of computer science & engineering
at York University (Toronto, Ontario, Canada),
having joined the faculty in 1999.
He has also been on the faculties of
American University (Washington, DC, USA)
and the College of William and Mary (Williamsburg, Virginia, USA).
He is an IBM CAS (Centre for Advanced Studies) Faculty Fellow.
He has a PhD in computer science
from the University of Maryland (1999),
an MS in computer and information science
from the Georgia Institute of Technology,
and a BS in mathematical sciences
from the University of North Carolina.
His research interests are in databases,
how to improve their efficiency (optimization), and
how to improve their utility.
He is interested in how database technology can be better leveraged
for data-intense applications
for which database systems are currently not well suited.
His recent focus has been in preference and skyline queries.
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Jarek Gryz
is an associate professor of computer science & engineering
at York University (Toronto, Ontario, Canada),
having joined the faculty in 1997.
He has long been an IBM CAS (Centre for Advanced Studies)
Faculty Fellow.
He has a PhD in computer science
from the University of Maryland (1997),
and masters and bachelors degrees in philosophy
from the University of Warsaw.
His key research focus has been in the area of query optimization,
in which he has published numerous articles in leading conferences
and journals,
and in which he holds several joint patents.
His students have gone to work for IBM, Microsoft, and Oracle.
He has research interests in information integration
and cooperative query answering.
He has a background in artificial intelligence and logics,
and a keen interest in the meet of AI, information systems,
and philosophy.
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