[dbjapan] 【参加募集】iDB2011ワークショップ講演会【どなたでも参加OK！参加無料】

[Takako Hashimoto <takako [at] cuc.ac.jp>]

日本データベース学会の皆様：

千葉商科大学の橋本です。

いよいよiDBワークショップ2011（2011年8月1日〜3日）が迫ってまいりました．
iDBワークショップ2011内で開催いたします講演会についてご案内させていただきます．
iDBワークショップ本体はクローズドな会ですが、講演会はどなたでもご自由に参加できます．
また参加費も無料です。5名の著名な研究者による講演を聴講できるまたとない機会です．

ぜひ奮ってご参加いただけますようよろしくお願い致します。

# Prof. Sourav S Bhowmick (Nanyang Technological University)の
# 講演情報が追加されています．

======================================================================
iDB2011ワークショップ講演会

http://db-event.jpn.org/idb2011/invited/
主催: 日本データベース学会，情報処理学会データベースシステム研究会
電子情報通信学会データ工学研究会
======================================================================

日時: 2011年8月2日 13:15〜16:30 [予定] （iDBワークショップ2011内イベント）
会場:　 立命館大学 朱雀キャンパス
http://www.ritsumei.jp/accessmap/accessmap_suzaku_j.html
住所: 〒604-8520 京都市中京区西ノ京朱雀町１
参加費: 無料
参加登録: 不要

8月1日から3日にかけて立命館大学 朱雀キャンパスで開催されるiDBワーク
ショップ2011にて，データベースおよびデータ工学分野で世界的に活躍されてい
る著名海外研究者による講演会を 開催致します．参加登録，参加費は無料で
す．ぜひ奮ってご参加いただけますようよろしくお願い致します．

なお，本ワークショップの連続開催イベントとして，「情報処理学会データベー
スシステム研究会(SIG-DBS)，情報基礎とアクセス技術研究会 (SIG-IFAT)の合同
研究会(*1)」，「電子情報通信学会DE研究会(*2)」が開催されます．各研究会への参加を
予定されている皆様、ぜひこちらの講演 にも参加をご検討ください．

(*1) http://www.ipsj.or.jp/09sig/kaikoku/2011/DBS152IFAT103.html
(*2) http://www.ieice.org/ken/program/index.php?tgid=IEICE-DE


■講演会プログラム (2011年8月2日 13:00〜16:15 [予定] )

1. An Effective Approach for Topic-Driven Opinion Summarization
Prof. Kam-Fai Wong (The Chinese University of Hong Kong)

Topic-driven opinion summarization (TOS) plays an important role in
helping users digest online opinions, which targets to extract a summary
of opinion expressions specified by a query, i.e. topic-specific
opinionated information (TOI). A fundamental problem in TOS is how to
effectively represent the TOI of an opinion expression so that salient
opinions can be summarized to meet user’s preference. Existing
approaches for TOS are either limited by the mismatch between topical
information and its corresponding opinionated information or lack of
ability to measure opinionated information when associated with
different topics (queries), which in turn affect the performance of TOS
seriously. In this paper, we represent a TOI by a semantically richer
information unit, word pair, constructed by a sentiment word together
with its corresponding topic-specific word. We further propose a
weighting scheme to measure word pair and compute the associative score
between sentiment and topic word of individual word pair. Then, we
integrate word pair into a random walk model for opinion expression
ranking and adopt maximal marginal relevance method for summarization.
Experimental results showed that salient opinion expressions are
effectively weighted to be assigned top rank for TOS and achieved
significant improvement in F value over other representations.


2. On Matching Web-scale Entity Graphs
Prof. Seung-won Hwang (POSTECH, Korea)

This talk introduces the problem of matching web-scale entity graphs,
such as multilingual name graphs and social network graphs, to solve
difficult problems such as name translation or social id finding. While
existing approaches focus on using textual (or phonetic) similarity or
Web co-occurrences, this approach combines the strength of the two and
significantly outperforms the state-of-the-arts. We present our
evaluation results using real-life entity graphs.


3. Being David in the Data Management World of Goliaths
Prof. Sourav S Bhowmick (Nanyang Technological University, Singapore)

This talk consists of two parts. In the first part, I will share with 
you my experience and some insights on how to undertake data management 
research that leads to publications in top tier venues where you are 
a David in the data management world of Goliaths. By "David" I mean 
you belong to one or more of the followings: (a) You are not a graduate 
student of a "star" professor; (b) You have not (or not going to) 
graduated from a DB-strong University or group; or (c) You are not 
connected to the "visible network".
In the second part, I will share with you my views on XML and graph 
data management research. Specifically, I will talk about (a) what 
topics in these domains may lead you to top-tier publications; 
(b) publications vs impact of research and (c) what is the best 
strategy (according to my view) when you are a David.


4. Context-Aware Search: Approaches and Applications
Prof. Daxin Jiang (Microsoft Research Asia)

Capturing the context of a user's query from the previous queries and
clicks in the same session leads to better understanding of the user's
information need. In this talk, I will present several approaches to
modeling users’ search context and their applications to query
suggestion, URL recommendation, and document re-ranking. We evaluated
our approach on real data sets consisting of billions of queries,
clicks, and search sessions. The experimental results clearly show that
our context-aware approach is both effective and efficient.

5. Data Mining and the 'Curse of Dimensionality'
Dr. Arthur Zimek (Ludwig-Maximilians-University Munich, Germany)

This talk sketches the infamous 'curse of dimensionality' in its
relevance for data mining algorithms and reports on some exemplary
approaches to mining high-dimensional data.




-- 
Takako Hashimoto, Ph. D.
Coordinator, IEEE R10 Women In Engineering 
Vice Chair, IEEE Japan Council Women In Engineering
Associate Professor,　Chiba University of Commerce
1-3-1, Konodai Ichikawa City, Chiba,
272-8512 Japan,　tel:+81-47-373-4222
takako [at] cuc.ac.jp