Keynote Talk 1: Distributed XML Processing
Prof. Tamer Ozsu, University of Waterloo, Canada
XML is commonly used to store data and to exchange it between a
variety of systems. While centralized querying of XML data is increasingly
well understood, the same is not true in a scenario where the data
is spread across multiple nodes in a distributed system. Since the
size of XML data collections are increasing along with the heavy
workloads that need to be evaluated on top of these collections,
scaling a centralized solution is becoming increasingly difficult.
A common method for addressing this issue is to distribute the data
and parallelize query execution. This is well understood in relational
databases, but the issues are more complicated in the case of XML
data due to the complexity of the data representation and the flexibility
of the schema definition. In this talk, I will introduce our new
project to systematically study distributed XML processing issues.
The talk will focus on data fragmentation and localization issues.
This is joint work with Patrick Kling.
M. Tamer Ozsu is Professor of Computer Science and University Research
Chair at the University of Waterloo and Director of the David R.
Cheriton School of Computer Science. Prior to his current position,
he was with the Department of Computing Science of the University
of Alberta between 1984 and 2000. Dr. Ozsu's current research focuses
on three areas: (a) Internet-scale data distribution, (b) multimedia
data management, and (c) structured document management mainly within
the context of XML query processing and optimization. Dr. Ozsu is
on the editorial boards of ACM Computing Surveys, Distributed and
Parallel Databases, World Wide Web Journal, Information Technology
and Management. He is the Co-Editor-in-Chief of the forthcoming
Encyclopedia of Database Systems and serves on the editorial boards
of two Springer book series: Web Information Systems Engineering
and Internet Technologies, and Advanced Information & Knowledge
Processing. He chaired ACM Special Interest Group on Management
of Data (SIGMOD) between 2001 and 2005 and was a trustee of the
VLDB Endowment between 1996 and 2002. He was the Coordinating Editor-in-Chief
of The VLDB Journal between 2001 and 2005. He currently serves on
ACM Publications Board. He is a Fellow of ACM, a Senior Member of
IEEE, and a member of Sigma Xi; he is the recipient of 2006 ACM
SIGMOD Contributions Award, and the recipient of Distinguished Alumnus
Award from Ohio State University, College of Engineering (2008).
Keynote Talk 2: Towards multi-modal extraction and
summarization of conversations
Prof. Raymond Ng, University
of British Columbia
For many business intelligence applications, decision making depends
critically on the information contained in all forms of informal
text documents, such as emails, meeting summaries, attachments and
web documents. For example, in a meeting, the topic of developing
a new product was first raised. In subsequent follow-up emails,
additional comments and discussions were added, which included links
to web documents describing similar products in the market and user
reviews on those products. A concise summary of this conversation
is obviously valuable. However, existing technologies are inadequate
in at least two fundamental ways. First, extracting conversations
embedded in multi-genre documents is very challenging. Second, applying
existing multi-document summarization techniques, where were designed
mainly for formal documents, have proved to be highly ineffective
when applied to informal documents like emails.
In this talk, we first review some
of the earlier works done on extracting email conversations. We
also give an overview of email summarization and meeting summarization
methods. We then present several open problems that need to be solved
for multi-modal extraction and summarization of conversations to
become a reality. Last but not least, we specifically focus on extraction
and summarization of sentiments in emails and blogs.
Dr. Raymond Ng is a professor in computer science at UBC. He is
internationally renowned for his data mining studies. He has published
over 100 journal and conference papers covering a broad range of
topics. He has won Best Paper awards from the ACM SIGKDD conference
and the ACM SIGMOD conference. For the past few years, Dr Ng is
one of the editors of two top database journals worldwide: the VLDB
Journal and the IEEE Transactions on Knowledge and Data Engineering.
He was a general chair of ACM SIGMOD 2008 and a program chair of
IEEE ICDE 2009.
Keynote Talk 3: Semamtic Computing
Prof. Phillip C-y Sheu
University of California, Irvine, USA
Institute for Semantic Computing, USA
State Key Laboratory of Software Engineering (Wuhan University),
The field of Semantic Computing addresses the derivation and matching
of the semantics of computational content to that of naturally expressed
user intentions in order to retrieve, manage, manipulate or even
create content, where ˇ°contentˇ± may be anything including video,
audio, text, process, service, network, community, etc. This connection
between content and user intentions is made via (1) Semantic Analysis,
which analyzes content with the goal of converting it to machine
processable semantics; (2) Semantic Integration, which integrates
content and semantics from multiple sources; (3) Semantic Applications,
which utilize content and semantics to solve problems; and (4) Semantic
Interface, which interprets users' intentions expressed in natural
language or other communicative forms. The reverse connection converts
the intentions of users to create content via analysis and synthesis
techniques. Semantic Computing applies technologies in natural language
processing, data and knowledge engineering, software engineering,
computer systems and networks, signal processing and pattern recognition,
and combinations of the above to extract, access, transform and
synthesize computational content and semantics of various types.
This talk highlights the past, present and future of semantic computing.
Dr. Phillip C-Y. Sheu is currently a professor of EECS and Biomedical
Engineering at the University of California, Irvine, and a visiting
professor at the State Key Laboratory of Software Engineering (Wuhan
University), China. He also serves as the Founding Director of the
Institute for Semantic Computing, an international research organization
that connects industry, government and academia to promote semantic
computing technologies. He received his Ph.D. and M.S. degrees from
the University of California at Berkeley in Electrical Engineering
and Computer Science in 1986 and 1982, respectively. He has published
two books: (1) Intelligent Robotic Planning Systems and (2) Software
Engineering and Environment - An Object-Oriented Perspective, and
more than 100 papers in object-relational data and knowledge engineering
and their applications. His current research interests include semantic
computing and complex biomedical systems. He is a fellow of IEEE,
the founder of the IEEE International Conference on Semantic Computing,
the founding Editor-in-Chief of the International Journal of Semantic
Computing, and an editor of the forth-coming book ˇ°Semantic Computingˇ±
(Wiley/IEEE Press, Eds. P. C-Y Sheu, H. Yu, C.V. Ramamoorthy, A.
Joshi and L. A. Zadeh, 2009).