DASFAA-2004: Call for Participation

                      DASFAA-2004   CALL FOR PARTICIPATION

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The 9th International Conference on Database Systems for Advanced Applications 
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                   March 17-19, 2004, Jeju Island, Korea
                     http://aitrc.kaist.ac.kr/~dasfaa04

                             Organized by
        Special Interest Group on Database (SIGDB) of KISS, Korea
 Advanced Information Technology Research Center (AITrc), a KOSEF ERC, Korea

                             Sponsored by
        Korea Advanced Institute of Science and Technology (KAIST)
                Air Force Office of Scientific Research
           Asian Office of Aerospace Research and Development
                  Army Research Office--Far East
                             Oracle Korea
                              Samsung SDS
                         Korea Telecom Data Inc.

                           Acamedic Sponsors
              Korea Information Science Society (KISS)
           Information Processing Society of Japan (IPSJ)
       Database Society of China Computer Federation (CCF DBS)
                      Database Society of Japan 

                          In Cooperation With
                               ACM SIGMOD

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** AIMS OF THE CONFERENCE **
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   This conference provides an international forum for technical discussion
   among researchers, developers and users of database systems from academia, 
   business and industry. DASFAA focuses on research in database theory, 
   development of advanced DBMS technologies, and their advanced applications.
     A premier database conference in the Asia/Pacific region, DASFAA has been 
   held every two years in many countries in the region. To promote further and 
   to answer the need of many participants, the Steering Committee decided to 
   hold the conference annually. DASFAA2004 is the first such conference 
   after it is made annual.

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** REGISTRATION, ACCOMODATION, and VISA  **
--------------------------------------------
   Visit http://aitrc.kaist.ac.kr/~dasfaa04/ for detailed information.

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** CONFERENCE PROGRAM **
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March 17, 2004 (Wednesday)

09:30 - 10:30 

KEYNOTE I : Caching Technologies for Web Applications
                 C. Mohan, IBM Almaden Research Center, USA

11:00 - 12:30

SESSION 1 : Access Method
        Index Clustering for High-Performance Sequential Index Access
               Guang-Ho Cha
        SF-Tree: An Efficient and Flexible Structure for Estimating Selectivity 
        of Simple Path Expressions with Statistical Accuracy Guarantee
               Wai-Shing Ho, Ben Kao, David W. Cheung, Yip Chi Lap [Beta], Eric 
Lo
        UB-tree Based Efficient Predicate Index with Dimension Transfrom for 
        Pub/Sub System
               Botao Wang, Wang Zhang, Masaru Kitsuregawa

SESSION 2 : Query Processing in XML
        Approximate Counting of Frequent Query Patterns over XQuery Stream
               Liang Huai Yang, Mong Li Lee, Wynne Hsu
        Counting Relaxed Twig Matches in a Tree
               Dongwon Lee, Divesh Srivastava
        XTree for Declarative XML Querying
               Zhuo Chen, Tok Wang Ling, Mengchi Liu, Gillian Dobbie

SESSION 3 : Security & Integrity
        On Addressing Efficiency Concerns in Privacy-Preserving Mining
               Shipra Agrawal, Vijay Krishnan, Jayant R. Haritsa
        Efficient Execution of Aggregation Queries over Encrypted Relational 
Databases
               Hakan Hacigumus, Bala Iyer, Sharad Mehrotra
        A MAC-based Service Bundle Authentication Mechanism in the OSGi Service 
Platform
               Young-Gab Kim, Chang-Joo Moon, Dae-Ha Park, Doo-Kwon Baik
        A Model based on Conflict-of-Interest Relation for Multilevel Secure 
        Database Systems
               Chanjung Park, Seog Park, Yoonku Kim

14:00 - 14:30 

INVITED TALK I : Emergent Semantics
                      Stefano Spaccapietra, EPFL, Switzerland
                      Co-author: IFIP 2.6 Working Group "Databases"

   Information and communication infrastructures underwent a rapid and extreme 
   decentralization process over the past decade: From a world of statically 
   and partially connected central servers rose an intricate web of millions of 
   information sources loosely connecting one to another. The dynamism and 
   relative autonomy of the individuals in the structure is now seen as a 
chance 
   more than a threat to the stability and consistency of the overall system. 
   New paradigms, like ad-hoc or peer-to-peer networks, even exacerbate this 
   position by taking advantage of the liveliness and heterogeneity of their 
   constituents in the creation of global, self-organizing structures. Today, 
   we expect to witness the extension of this revolution with the wide adoption 
   of meta-data standards like RDF or OWL underpinning the creation of a 
semantic 
   web. Again, we hope for global properties to emerge from a multiplicity of 
   pair-wise, local interactions, resulting eventually in a self-stabilizing 
   semantic infrastructure. This paper represents an effort to summarize the 
   conditions under which this revolution would take place as well as an 
attempt 
   to underline its main properties, consequences and applications. Also, it 
   proposes solutions to the main threads and limitations endangering the 
formation 
   and proper functioning of such a large-scale, emergent semantic system. 

14:30 - 18:00 

TUTORIAL I : Query Processing in XML Databases
                  Hongjun Lu, Hong Kong University of Science & Technology
                  Jeffrey Xu Yu, Chinese University of Hong Kong

   XML has become a de facto standard for information dissemination and 
exchange 
   over the Internet. During the past few years, a large amount of work has 
been 
   devoted to XML data management and dozens of XML data management systems 
have 
   been developed. Recently more work on query processing and optimization in 
XML 
   database systems has been reported. The objective of this tutorial is to 
review
   the issues in XML query processing and optimization and summarize the 
   state-of-the-art techniques. We will first briefly discuss the special 
features 
   of the XML data and XML query languages from the view point of query 
processing 
   followed by an introduction on different approaches of physical data 
organization 
   and indexing techniques. Query processing techniques in both relational 
based 
   systems and native XML engines will be discussed in detail. Finally we will 
   discuss the issues related to XML query optimization.

14:30 - 16:00

SESSION 4 : Query Processing in Temporal & Spatial Databases
        Modeling Temporally Variable Transportation Networks
               Zhiming Ding, Ralf Hartmut Guting
        Statistic Driven Acceleration of Object-Relational Spatial Index 
Structures
               Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, Matthias Renz
        Path-Based Range Query Processing Using Sorted Path And Rectangle 
        Intersection Approach
               Hoong Kee Ng, Hon Wai Leong
        Efficient Processing of Spatiotemporal Joins
               Geraldo Zimbrao, Jano Moreira De Souza, Victor Teixeira De 
Almeida

SESSION 5 : Semi-structured Databases
        Skipping Strategies for Efficient Structural Joins
               Franky Lam, William M. Shui, Damien K. Fisher, Raymond K. Wong
        Scaling SDI Systems via Query Clustering and Aggregation
               Xi Zhang, Mong Li Lee, Wynne Hsu
        A Lightweight XML Repository Supporting Frequent Partial-Updates of XML 
Data
               Hyoseop Shin, Andrei V. Popov
        On View Transformation Support for a Native XML Database
               Daofeng Luo, Chen Ting, Tok Wang Ling, Xiaofeng Meng

16:30 - 18:00

SESSION 6 : Knowledge Discovery in Temporal & Spatial Databases
        Similarity Search for Interval Time Sequences
               Byoung-Kee Yi, Jong-Won Roh
        Discovering Geographical Features for Location-Based Services
               Junmei Wang, Wynne Hsu, Mong Li Lee
        Polygon and Polyline Spatial Join Using Raster Approximations
               Rodrigo Salvador Monteiro, Leonardo Guerreiro Azevedo, Geraldo 
Zimbrao, 
               Jano Moreira de Souza

SESSION 7 : XML & Multimedia Data Storage
        Searching Proper Replications in Mapping XML into Relations
               Jaehoon Kim, Seog Park
        A Semantics-based Versioning Scheme for Multimedia Data
               Hyon Hee Kim, Seung Soo Park
        DiffXML: Change Detection in XML Data
               Yan Chen, Sanjay Madria, Sourav Bhowmick

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March 18, 2004 (Thursday)

09:00 - 10:00

KEYNOTE II : Data Semantics Revisited: Databases and the Semantic Web
                  John Mylopoulos, University of Toronto, Canada
  
   Data in a data source are useful because they model some part of the real 
world,
   its subject matter (or application, or domain of discourse). The problem of 
   data semantics is establishing and maintaining the correspondence between a 
   data source, hereafter a model, and its intended subject matter. The model 
may
   be a database storing data about employees in a company, a database schema 
   describing parts, projects and suppliers, a website presenting information 
   about a university, or a plain text file describing the battle of Waterloo. 
   The problem has been with us since the development of the first databases. 
   However, the problem remained under control as long as the operational 
   environment of a database remained closed and relatively stable. In such a 
   setting, the meaning of the data was factored out from the database proper, 
   and entrusted to the small group of regular users and/or application 
programs. 

   The advent of the web has changed all that. Databases today are made 
available, 
   in some form, on the web where users, application programs and uses are 
open-ended 
   and ever changing. In such a setting, the semantics of the data has to be 
made 
   available along with the data. For human users, this is done through an 
appropriate 
   choice of presentation format. For application programs, however, this 
semantics 
   has to be provided in a formal and (hence) processable form. Hence the call 
for 
   the Semantic Web. 

   We critically review some of the concepts and technologies under 
development, 
   intended to meet the Semantic Web challenge. We then propose a formal 
framework 
   for assigning meaning to data through composite mappings from a model to its 
   intended subject matter. Our proposal adopts a formal semantics framework 
   proposed in [Smith87], and postulates that every model must come with a 
meaning 
   defined in terms of a mapping to another model. This recursive definition of 
   semantics terminates with a mapping to a formal model of a class of 
applications. 
   To illustrate the scope and potential benefits of our proposal, we focus on 
   database schemas (both conceptual and logical) and present an example 
involving 
   several schemas and the mappings among them. 

   This is a speculative talk. The research that will flesh out the details and 
   actual benefits of this framework are ahead of us. The seminar is based on 
   joint work with Alex Borgida and Yuan An.  

10:00 - 10:30

INVITED TALK II : Genomic and Proteomic Databases and Applications: A Challenge 
for 
                  Database Technology
                       Shamkant Navathe, Georgia Institute of Technology, USA
                       Co-author: M.D. Upen Patil

11:00 - 12:30

PANEL I

14:00 - 18:00

TUTORIAL II : Algorithmic Excursions in Data Streams
                   Sudipto Guha, University of Pennsylvannia

   For many recent applications, the concept of a data stream is more
   appropriate than a data set. By nature, a stored data set is an
   appropriate model when significant portions of the data are queried
   again and again, and updates are small and/or relatively
   infrequent. In contrast, a data stream is an appropriate model when a
   large volume of data is arriving continuously and it is either
   unnecessary or impractical to store the data in some form of
   memory. Many applications naturally generate data streams as opposed
   to simple data sets. Astronomers, telecommunications companies, banks,
   stock-market analysts, and news organizations, for example, have vast
   amounts of data arriving continuously. Data Mining of streams is thus
   a necessary ingredient for many successful applications. The stream
   view challenges basic assumptions in data mining like random access to
   data. It also raises several fundamental questions like are there
   effective techniques for mining streams?

   In this tutorial we will present a survey of algorithms and
   applications related to data streams. We begin by presenting the basic
   data stream model of computation. We will then cover techiques for
   preprocessing a stream like sampling from a stream, dimension
   reduction of a stream, and summarizing a stream using structures like
   histograms. These preprocessing steps are commonly employed prior to
   data mining. We will then cover various techniques for mining streams
   like computing frequent itemsets, clusters, and decision trees. Since
   query processing is a basic tool that is needed to support data mining
   in databases. We assume that the audience has elementary knowledge of
   algorithms and a basic understanding of data mining. By and large, the
   tutorial will be self-contained.

14:00 - 15:30

SESSION 8 : Temporal & Spatial Databases & Query Processing
        Adaptive quantization of the high-dimensional data for efficient 
        KNN processing
               Bin Cui, Jing Hu, Hengtao Shen, Cui Yu
        Indexing iconic image database for interactive spatial similarity 
retrieval
               Xiao Ming Zhou, Chuan Heng Ang, Tok Wang Ling
        Concurrent Updating of a Large Spatial Object
               YoungDuk Seo, DongHyun Kim, BongHee Hong
        A Cost Model for Spatial Intersection Queries on RI-Trees
               Hans-Peter Kriegel, Martin Pfeifle, Marco Potke, Thomas Seidl

SESSION 9 : Web Computing
        Template-Based Proxy Caching for Table-Valued Functions
               Qiong Luo, Wenwei Xue
        Increasing Website Connectivity by Web-log Data Streams
               Edmond H.Wu, Michael K.Ng , Joshua Z. Huang
        Ontological and Pragmatic knowledge Management for Web service 
Composition
               Soon Ae Chun, Yugyung Lee, James Geller
        Web Page Grouping Based on Parameterized Connectivity
               Tomonari Masada, Atsuhiro Takasu, Jun Adachi

16:00 - 18:00

SESSION 10 : Data Mining & Knowledge Discovery in Web I
        Reducing Communication Cost in Privacy Preserving Distributed 
        Association Rule Mining
               Mafruz Zaman Ashrafi, David Taniar, Kate Smith
        A Novel Representation of Sequence Data based on Structural Information 
        for Effective Music Ret
               Chia-Hsiung Lee, Chung-Wen Cho, Yi-Hung Wu, Arbee L.P.Chen
        Managing and Mining Clinical Outcomes
               Hyoil Han, Il-Yoel Song, Tony Hu, Ann Prestrud, Murray Brennan, 
               Ari Brooks
        An Efficient Approach for Maintaining Association Rules based on 
        Adjusting FP-tree Structure
               Jia-Ling Koh, Shui-Feng Shieh
        A Collaborative Recommendation Based on Neural Network
               Myung Won Kim, Eun Ju Kim, Joung Woo Ryu

SESSION 11 : Query Processing & Optimization
        On Incorporating Iceberg Queries in Query Processors
               Krishna P. Leela, Pankaj M. Tolani, Jayant R. Haritsa
        A Multiple Continuous Query Optimization Method Based on Query 
Execution 
        Pattern Analysis
               Yousuke Watanabe, Hiroyuki Kitagawa
        An Efficient Approach for Partial-Sum Queries in Data Cubes Using 
        Hamming-Based Codes
               Chien-I Lee, Yu-Chiang Li, Shin-Mu Tseng
        Optimizing Mediator Queries to Distributed Engineering Systems
               Mattias Nystrom, Tore Risch
        Automatic Generation of SQLX View Definitions from ORA-SS Views
               Chen Ya Bing, Ling Tok Wang, Lee Mong Li

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March 19, 2004 (Friday)

08:30 - 10:30

TUTORIAL III : Design and Implementation of an E-Catalog Management System 
                    Sang-goo Lee, Seoul National University

   Electronic catalogs providing information on products and services form 
   one of the most important components of e-business systems. To support 
   various business solutions such as e-procurement, supply chain management, 
   and enterprise resource planning, a Catalog Management System (CMS) needs 
   to provide flexible data schema and a holistic control for management 
   activities including definition, creation, storage, retrieval, revision, 
   reuse, and maintenance of data and meta-data of products and services. 
   The design of a CMS is complicated by the diversity in product types, 
   applications, and vocabulary. Relational schema design for tens of 
   thousands of different product types is an issue that has been well 
   noted and addressed in the literature. Identifying products and product 
   classes across organizations throughout the product lifecycle, often known 
   as data synchronization, has been one of the toughest challenges in the 
   supply chain management world.

   In this tutorial, we will define the problems and challenges of e-catalog 
   management. We will then introduce our experience and present solutions to 
   some of these problems including product database design, classification 
   scheme management, and product search. We will also introduce an 
   ontology-based approach to these problems and its applications. Demos of a 
   Catalog Management System are available. 

09:00 - 10:30

SESSION 12 : Classification & Clustering I
        Semi-Supervised Text Classification Using Partitioned EM
               Gao Cong, Wee Sun Lee, Haoran Wu, Bing Liu
        FMACA: A Fuzzy Cellular Automata (FCA) Based Tree-Structured Pattern 
        Classifier
               Pradipta Maji, Rishi Nandi, P Pal Chaudhuri
        Music Classification Using Significant Repeating Patterns
               Chang-Rong Lin, Ning-Han Liu, Yi-Hung Wu, Arbee L.P. Chen

SESSION 13 : Web Search I
        Applying Co-training to Clickthrough Data for Search Engine Adaptation
               Tan Qingzhao, Chai Xiaoyong, Wilfred Ng, Dik-Lun Lee
        Visual Interface for Evaluating Internet Search Results
               Beomjin Kim
        A Meta-Search Method with Clustering and Term Correlation
               Dyce Jing Zhao, Dik Lun Lee, Qiong Luo

11:00 - 12:30

SESSION 14 : Classification & Clustering II
        SUDEPHIC: Self-tuning Density-based Partitioning and Hierarchical 
Clustering
               Ding Zhou, Zunping Cheng, Chen Wang, Haofeng Zhou, Wei Wang, 
Baile Shi
        Classification of Bio-Medical Images using Neuro Fuzzy Approach
               Shashikala Tapaswi, R.C.Joshi
        Optimized Fuzzy Classification for Data Mining
               Myung Won Kim, Joung Woo Ryu

SESSION 15 : Web Search II
        Supporting Exploratory Queries in Databases
               Abhijit Kadlag, Amol Wanjari, Juliana Freire, Jayant R. Haritsa
        A Web Page Scoring Method for Local Web Search Engines
               Yohei Ikawa, Kunihiko Sadakane
        Discovering Aspects of Web Pages from Its Referential Context in the Web
               Koji Zettsu, Yutaka Kidawara, Katsumi Tanaka

SESSION 16 : Mobile Databases I
        A Log-based Cache Consistency Control of Spatial Database in Mobile 
Computing 
        Environments
               Kyounghwan An, Bonggi Jun, Jietae Cha, Bonghee Hong
        Improving Concurrency Control in Mobile Databases
               Anand Yendluri, Wen-Chi Hou, Chih-Fang Wang
        Just-In-Time Recommendation using Multi-Agents for Context-Awareness in 
        Ubiquitous Computing Environment
               Joonhee Kwon, Sungrim Kim, Yongik Yoon

14:00 - 15:30

SESSION 17 : Parallel & Distributed Databases
        LFU-K: An Effective Buffer Management Replacement Algorithm
               Leonid B. Sokolinsky
        Data Declustering with Replication
               Yao Liu, Sam Y. Sung, Hui Xiong, Peter Ng
        Efficient Declustering of Non-Uniform Multidimensional Data using 
Shifted 
        Hilbert Curves
               Hak-Cheol Kim, Mario A. Lopez, Scott T. Leutenegger, Ki-Joune Li

SESSION 18 : Multimedia Databases I
        Efficient and Flexible Bitmap Indexing for Complex Similarity Queries
               Guang-Ho Cha
        Multimedia Data Integration and Navigation through MediaView
               Dawei Ding, Qing Li, Jun Yang
        Union and Intersection of Filtering Functions for Information Filtering
               Rie Sawai, Masahiko Tsukamoto, Tsutomu Terada, Shojiro Nishio

SESSION 19 : Mobile Databases II
        Efficient Transaction Processing in Mobile Data Broadcast Environments
               SangKeun Lee, SungSuk Kim
        GBL: Group-based Location Updating in Mobile Wireless Environment
               Gary, Hoi Kit Lam, Hong Va Leong, Stephen, Chi Fai Chan
        A Moving Point Indexing using Projection operation for LBS
               Eung Jae Lee, Young Jin Jung, Keun Ho Ryu

16:00 - 18:00 

SESSION 20 : Data Mining & Knowledge Discovery in Web II
        EGA: An Algorithm for Automatic Semi-Structured Web Documents Extraction
               Li Liyu, Su Zhihua, Tang Shiwei, Yang Dongqing, Wang Tengjiao
        An Automated Algorithm for Extracting Website Skeleton
               Zehua Liu, Wee Keong Ng, Ee-Peng Lim
        Ontologies on the MOVE
               Carlo Wouters, Tharam Dillon, Wenny Rahayu, Elizabeth Chang, 
               Robert Meersman
        Maintenance of Discovered Mobile User Maximal Moving Sequential 
Patterns: 
        an Incremental Updating Technique
               Shuai Ma, ShiWei Tang, DongQing Yang, TengJiao Wang, ChanJun Yang

SESSION 21 : Multimedia Databases II
        Improving Similarity Search by Using Only a Few Good Dimensions After 
        Dimensionality Reduction
               Christian Digout, Alexandru Coman, Mario A. Nascimento
        Relative Queries and The Relative Cluster-mapping Method
               Shinsuke Nakajima, Katsumi Tanaka
        Improving Query Effectiveness for Large Image Databases with Multiple 
        Visual FeatureCombination
               Jialie Shen, John Shepherd, Anne H H Ngu, Du Q Huynh

SESSION 22 : Mobile Databases II
        Dynamic Data Replication Schemes for Mobile Ad-hoc Network Based 
        on Aperiodic Updates
               T. Hara, Sanjay Madria
        Stream Selection Policies for Transcoding Multimedia Presentations 
        Composed of Multiple Streams to Play on Mobile Terminals.
               Maria Hong, YoungHwan Lim
        Efficient Group Pattern Mining Using Data Summarization
               Yida Wang, Ee-Peng Lim, San-Yih Hwang
        A Cost Effective Cache Consistency Method for Mobile Clients 
        in Wireless Environments
               Song-Yi Yi, Wonmin Song, Sungwon Jung
        Supporting Benefit-Oriented Retrieval for Data on Air
               Chao-Chun Chen, Lien-Fa Lin, Chiang Lee

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** ORGANIZING COMMITTEE **
---------------------------

Honorary Chair:
   Sukho Lee, Seoul National Univ., Korea

International Advisory Committee: 
   Yahiko Kambayashi, Kyoto Univ., Japan
   Shamkant Navathe, Georgia Tech., USA
   Erich Neuhold, Fraunhofer, Germany
   Insup Paik, Ajou University, Korea
   Stanley Su, Univ. of Florida, Gainsville, USA

General Chair:
   Kyu-Young Whang, KAIST/AITrc, Korea

Program Chairs:
   YoonJoon Lee, KAIST, Korea
   Jianzhong Li, Harbin Institute of Technology, China

Organization Committee:
   Seog Park (Chair), Sogang Univ., Korea
   June Sung Park, Samsung SDS Co., Ltd., Korea
   Alex Hong, Oracle Korea Ltd., Korea
   Jang-Su Kim, KTDATA Inc., Korea
   Sang K. Cha, Seoul National Univ., Korea
   Ki-Joon Han, Konkuk Univ., Korea
   Young Kyoon Kim, ETRI, Korea
   Haechull Lim, Hongik Univ, Korea
   Songchun Moon, KAIST, Korea
   Kyhyun Um, Dongguk Univ., Korea

Tutorial Chairs: 
   Kyuseok Shim, Seoul National Univ., Korea
   James Wang, Penn. State Univ., USA

Panel Chairs:
   Hyoung-Joo Kim, Seoul National Univ., Korea
   Qing Li, City Univ. of Hong Kong, Hong Kong, China

Industrial Program Chairs: 
   Soon J. Hyun, ICU, Korea
   Il-Yeol Song, Drexel Univ., USA

Local Arrangement Committee:
   Chanjung Park (Chair), Cheju National Univ., Korea
   Ho-Young Kwak, Cheju National Univ., Korea
   Keun Hyung Kim, Cheju National Univ., Korea

Publicity Chairs:
   Myung Kim, Ewha Womans Univ., Korea (Domestic)
   Byung S. Lee, Univ. of Vermont, USA (Americas)     
   Ki-Joune Li, Pusan National Univ. Korea (Europe)
   Yunmook Nah, Dankook Univ., Korea (Asia/Pacific and Domestic DB Community)

Treasurer:
   Eui Kyeong Hong, Univ. of Seoul, Korea

Registration Chair:
   Yong-Chul Oh, Korea Polytechnic Univ. Korea     

Publication Chairs:  
   Doheon Lee, KAIST, Korea
   Wan-Sup Cho, Chungbuk National Univ., Korea

Geographic Area Chairs:
   Americas
     Jiawei Han, Univ. of Illinois, Urbana-Champaign, USA
   Europe/Middle East
     Wolfgang Klas, Univ. of Vienna, Austria
   Australia
     Maria Orlowska, Univ. of Queensland, Australia
   China
     Shan Wang, Renmin Univ., China
   Hong Kong
     Hongjun Lu, HKUST, Hong Kong, China
   India
     Krithi Ramaritham, IIT Bombay, India
   Japan
     Yoshi Masunaga, Ochanomizu Univ., Japan
   Singapore
     Tok Wang Ling, National Univ. of Singapore, Singapore
   Taiwan
     Arbee Chen, Tsinghua National Univ., Taiwan
   Thailand
     Vilas Wuwongse, Asian Institute of Technology, Thailand

KISS SIGDB Representative
   Chin-Wan Chung, KAIST, Korea

DASFAA Steering Committee
   Tok Wang Ling (Chair), National Univ. of Singapore, Singapore
   Yoshifumi Masunaga (Vice Chair),Ochanomizu Univ., Japan
   Arbee Chen, National Dong Hwa Univ., Taiwan
   Yoshihiko Imai, Matsushita Electric Industrial Co., Ltd, Japan     
   Fred Lochovsky, HKUST, China
   Seog Park, Sogang Univ., Korea
   Ron Sacks-Davis, RMIT, Australia
   Wang Shan, Renmin Univ. of China, China
   Katsumi Tanaka, Kyoto Univ., Japan
   Kyhyun Um, Dongkuk Univ., Korea
   Kyu-Young Whang, KAIST, Korea

------------------------
** PROGRAM COMMITTEE **
------------------------

   Dave Abel, CSIRO, Australia
   Masatoshi Arikawa, Univ. of Tokyo, Japan
   Stephane Bressan, National Univ. of Singapore, Singapore
   Vladimir Brusic, Institute for Infocomm Research, Singapore
   Guang-Ho Cha, Sookmyung Women's Univ., Korea
   Jinseok Chae, Univ. of Incheon, Korea
   Edward Chang, Univ. of California, Santa Barbara
   Kevin Chen-Chuan Chang, Univ. of Illinois at Urbana-Champaign
   Arbee L. P. Chen, National Dong Hwa Univ., Taiwan
   David Cheung, Univ. of Hong Kong, China
   Eugene I. Chong, Oracle Corporation, USA
   Klaus R. Dittrich, Univ. of Zurich, Switzerland
   Johann-Christoph Freytag, Humboldt Univ. zu Berlin, Germany
   Remigijus Gustas, Karlstad Univ., Sweden
   Jiawei Han, Univ. of Illinois at Urbana-Champaign, USA
   Gao Hong, Harbin Institute of Technology, China
   San-Yih Hwang, National Sun Yat-sen Univ., Taiwan
   Soon Joo Hyun, ICU, Korea
   Christian S. Jensen, Aalborg University, Denmark
   Hannu Kangassalo, Univ. of Tampere, Finland
   Jinho Kim, Kangwon National Univ., Korea
   Sang-Wook Kim, Hanyang Univ., Korea
   Yoo-Sung Kim, Inha Univ., Korea
   Matthias Klusch, DFKI, Germany
   Ramamohanarao Kotagiri, The Univ. of Melbourne, Australia
   Bong Kyou Lee, Hansung Univ., Korea
   Byung Suk Lee, Univ. of Vermont, USA
   Dik Lun Lee, Hong Kong Univ. of Science and Technology, Hong Kong
   Kangwoo Lee, ETRI, Korea
   Kyu-Chul Lee, Chungnam National Univ., Korea
   Minsoo Lee, Ewha Womans Univ., Korea
   Yugyung Lee, Univ. of Missouri - Kansas City, USA
   Chen Li, Univ. of California, Irvine, USA
   Mong Li Lee, National Univ. of Singapore, Singapore
   Seok-Lyong Lee, Hankuk Univ. of Foreign Studies, Korea
   Sang-Won Lee, Sungkyunkwan Univ., Korea
   Xue Li, The Univ. of Queensland, Australia
   Ee-Peng Lim, Nanyang Technological Univ., Singapore
   Tok Wang Ling, National Univ. of Singapore, Singapore
   Bing Liu, Univ. of Illinois at Chicago, USA
   Fred Lochovsky, HKUST, Hong Kong
   Pericles Loucopoulos, UMIST, UK
   Leszek A. Maciaszek, Macquarie Univ., Australia
   Akifumi Makinouchi, Kyushu Univ., Japan
   Xiaofeng Meng, Renmin Univ. of China, China
   Mukesh Mohania, IBM India Research Lab, India
   Shinichi Morishita, Univ. of Tokyo, Japan
   Wee Keong Ng, Nanyang Technological Univ., Singapore
   Atsushi Ohori, Japan Advanced Institute of Science and Technology, Japan
   Beng Chin Ooi, National Univesity of Singapore, Singapore
   Dimitris Papadias, Hong Kong Univ. of Science and Technology, Hong Kong
   Jian Pei, State Univ. of New York at Buffalo, USA
   Jun Rao, IBM Almaden Research Center, USA
   Kunihiko Sadakane, Tohoku Univ., Japan
   Shazia Sadiq, The Univ. of Queensland, Australia
   Nandlal L. Sarda, Indian Institute of Technology, Bombay, India
   Ming-Chien Shan, Hewlett Packard Labs, USA
   Shashi Shekhar, Univ. of Minnesota, USA
   Jin Hyun Son, Han Yang Univ., Korea
   Kian-Lee Tan, National Univ. of Singapore, Singapore
   Yuzuru Tanaka, Hokkaido Univ., Japan
   Changjie Tang, Sichuan Univ., China
   Soochan Hwang, Hankuk Aviation Univ., Korea
   Ouri Wolfson, Univ. of Illinois at Chicago, USA
   Jongho Won, ETRI, Korea
   Kam-Fai Wong, CUHK, Hong Kong
   Byoung-Kee Yi, POSTECH, Korea
   Hwan-Seung Yong, Ewha Womans Univ., Korea
   Yong-Ik Yoon, Sookmyung Women's Univ., Korea
   Masatoshi Yoshikawa, Nagoya Univ., Japan
   Cui Yu, Monmouth Univ. USA
   Lizhu Zhou, Tsinghua Univ., China

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