学会員メーリングリストアーカイブ (2009年)

[dbjapan] Re: [Dbworld] 2009 ACM SIGMOD Awards Winners


日本データベース学会の皆様、

既に御存じの方も多いかと思いますが、東京大学の喜連川優先生がACM SIGMODの
2009 SIGMOD Edgar F. Codd Innovations Award を受賞されました!

喜連川先生のご実績は国内では知らない方はいないと存じますが、国際的にも
極めて名誉ある賞を受賞され、日本のデータベースコミュニティとしてこの上
なく喜ばしく、心よりお祝い申し上げます。


ACM SIGMOD 日本支部長
横田 治夫

At Mon, 08 Jun 2009 19:40:47 -0500 [<200906090040.n590el48007545 [at] vimes.cs.wisc.edu>]
	 David Maier <maier [at] cs.pdx.edu> wrote:
> It is a great pleasure and honor to announce the winners of the following ACM SIGMOD
> awards, which will be presented at the ACM SIGMOD Conference in Providence. Please
> join us in congratulating this year's award winners!  More details about these awards
> can be found at SIGMOD Online.
> (http://www.sigmod.org/sigmod/NEWS/09/sigmod-award-recipients.4jun2009.html).
> 
> Sincerely,
> 
> The 2009 ACM SIGMOD Awards Committee
>   Rakesh Agrawal
>   Peter Buneman
>   Laura Haas
>   David Maier (2009 Chair)
>   Gerhard Weikum
> 
> ==========================================================================
> 2009 SIGMOD Edgar F. Codd Innovations Award
> for innovative and highly significant contributions of enduring value to
> the development, understanding, or use of database systems and databases. 
> 
> Masaru Kitsuregawa is the recipient of the 2009 SIGMOD Edgar F. Codd
> Innovations Award for contributions to high-performance database
> technology.
> 
> Kitsuregawa made major contributions to the development of hash-join
> algorithms, which significantly improved the performance of join
> operations in relational database systems. That work has influenced
> related research in areas such as query execution, plan optimization
> and dynamic query-workload balancing, as well as the development of
> commercial database products. He implemented the hash-based approach on
> a variety of platforms, including the Functional Disk System and multi-
> node PC clusters, demonstrating its substantial advantages through
> detailed evaluations. He has also applied hash-based strategies to parallel
> association mining and showed its effectiveness there. His contributions
> in the hardware area include a high-speed sorting system with a
> sophisticated memory management algorithm. That work was eventually
> commercialized in collaboration with colleagues, and won the Datamation
> sort benchmark in 2000.
> ============================================================================
> 2009 SIGMOD Contributions Award 
> for outstanding and sustained services to and promotion of the database field
> through activities such as education, conference organization, journals,
> standards, and research funding.
> 
> Beng Chin Ooi
> 
> Beng Chin Ooi is the recipient of the 2009 SIGMOD Contributions Award for
> his sustained and selfless contributions to the database community in
> promoting and pursuing high standards of database research at both the
> international and regional level.
> 
> Beng Chin Ooi has been consistently involved in activities that push the
> frontier of database research. He has taken leadership roles on technical
> programs for ICDE, SSD, SIGMOD and VLDB. He has helped ensure a high standard
> for database journal publications as an editor for The VLDB Journal, IEEE
> Transactions on Knowledge and Data Engineering, International Journal of
> Geographical Information Science, and Geoinformatca. Currently, he is the
> editor-in-chief of IEEE Transactions on Knowledge and Data Engineering, and
> an editor for the Distributed and Parallel Databases journal. He also serves
> on the SIGMOD Doctoral Dissertation Award committee and on the board of the
> VLDB Endowment. Ooi has contributed greatly to promoting database research,
> especially in the Asia-Pacific region, by building a eminent database group
> at the National University of Singapore that supports high quality research
> throughout the region through direct collaborations and participation in
> regional conferences.
> =============================================================================
> 2009 SIGMOD Test of Time Award 
> for the paper from the 1999 SIGMOD Conference that has had the paper that has
> had the most impact (research, products, methodology) over theintervening
> decade.
> 
> Jeffrey Scott Vitter and Mai Wang
> Approximate Computation of Multidimensional Aggregates of Sparse Data
>   Using Wavelets 
> 
> This influential paper showed that aggregates over sparse, high-dimensional
> arrays can be approximated with wavelets to give a compact data-cube
> representation that supports queries at interactive speeds. Prior histogram-
> based methods had prohibitive I/O costs for massive data sets of high
> dimensionality. The method is more accurate than random sampling and supports
> progressive refinement of answers when additional accuracy is desired. The
> paper inspired significant follow-on work by others, in the OLAP domain and
> also more broadly in approximate query processing, selectivity estimation,
> indexing of images and time series, and data-stream processing.
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