INGS'2008 Advance Program (as of April 15th,2008)
April 26th Function Room (B)
Session
(1): Keynote (I) 11:00-12:30
(session chair: Katsumi Tanaka,
Kyoto University, Japan)
11:00-11:45
Statistical Learning in Web Search
Hang Li (Microsoft Research Asia,
China)
Web search is becoming the major means for people to access the
Internet. According to a survey, 55% of web users use search engines every day.
Web search engines are usually built with technologies from two areas, namely,
distributed computing and statistical learning. Statistical learning is useful
because there are many uncertainties in crawling, indexing, ranking, and
serving of web search and the solutions have to be data-driven. In this talk, I
will explain how statistical learning technologies are being used in web
search. Specifically, I will introduce some of the statistical learning
technologies for web search, which we have developed recently. They include
BrowseRrank, ranking refinement, query adaptive ranking, and query refinement.
11:45-12:30
TBA
Aoying Zhou (Fudan University,
China)
Session
(2): Social Search 13:30-15:30
(chair: Masaru Kitsuregawa,
University of Tokyo, Japan)
13:30-13:55
An Examination of the Effectiveness of Social Tagging for Resource
Discovery
Dion Goh, Chei Sian Lee, Alton
Chua, Khasfariyati Razikin (Nanyang Technological
University)
13:55-14:20
QueReSeek: Community-Based Web Navigation by Reverse Lookup of Search History
Hideyuki Tan (Alpha Systems
Inc.), Ikki Ohmukai (National Institute of Informatics),
Hideaki Takeda (National
Institute of Informatics)
14:20-14:45
Querying RDF Data Using Dynamic Concise Bounded Description
Xinpeng Zhang, Masatoshi
Yoshikawa (Kyoto University)
14:45-15:10
SIKA: A Decentralized Architecture for Knowledge Grid Resource
Management
Rong Zhang, Koji Zettsu, Yutaka
Kidawara, Yasushi Kiyoki (NICT)
15:10-15:30
A Social Video Sharing System using User Comments based on Temporal Duration
and Pointing Region* (* short paper)
Daisuke Kitayama, Natsumi Oda,
Kazutoshi Sumiya (University of Hyogo)
15:30-16:00 Break
Session
(3): Knowledge Extraction and Search 16:00-18:00
(chair: Yoshiharu Ishikawa,
Nagoya University)
16:00-16:25
Visualizing Changes in Coordinate Terms over Time: An Example of Mining Repositories
of Temporal Data through their Search Interfaces
Hiroaki Ohshima, Adam Jatowt,
Satoshi Oyama, Katsumi Tanaka (Kyoto University)
16:25-16:50
Global Dynamics Network Construction from the Web
Thomas Perrin, Hideki Kawai,
Kazuo Kunieda, Keiji Yamada (NEC)
16:50-17:15
Finding RkNN Straightforwardly with Large Secondary Storage
Hanxiong Chen, Rongmao Shi, Nobuo
Ohbo, Kazutaka Furuse (Univ. of Tsukuba)
17:15-17:40
KANSHIN: A Cross-lingual Concern Analysis System using Multilingual Blog
Articles
Tomohiro Fukuhara (The University
of Tokyo), Akifumi Kimura (University of Tokyo),
Yoshiaki Arai (Tokyo Denki
University), Takayuki Yoshinaka (Tokyo Denki University),
Hidetaka Masuda (Tokyo Denki
University), Takehito Utsuro (University of Tsukuba),
Hiroshi Nakagawa (University of
Tokyo)
17:40-18:00
Hypothesis and Verification based on Measurement of Information
Literacy*
Akihiro Sumida, Yoshinori Hara
(Graduate School of Management, Kyoto University)
April 27th Ivory Ballroom (A)
Session
(4): Keynote (2) 11:00-11:45
(chair: Akiyo Nadamoto,
Konan University, Japan))
Content-Based Video Search: is there a need, and is it possible?
Zi Huang (University of
Queensland, Australia), Yijun Li (Nelson Media
Australia), Jie Shao(University
of Queensland, Australia),
Heng Tao Shen (University of
Queensland, Australia),
Liping Wang (University of
Queensland, Australia),
Danqing Zhang (Queensland
University of Technology, Australia),
Xiangming Zhou(University of
Queensland, Australia),
Xiaofang Zhou (University of
Queensland, Australia)
There is a large and rapidly increasing amount of video data on the
Internet and in personal and enterprise collections. Fast and accurate video
search emerges to be an important issue. The need and main technical challenges
for video retrieval are similar to those for the content-based image retrieval
(CBIR) problem. Lack of meaningful and comprehensive text annotation means that
an approach based on content similarity can be promising; and the differences
between an often high level search intention and the low level features used in
content-based search techniques suggests that content-based video retrieval
(CBVR) may also suffer from “semantic gap” issues. In this paper, we analyze
the problem of CBVR from related work in the literature as well as some current
work in our team, focusing on the relationship between CBIR and CBVR, open yet
well-defined research issues and practical applications of CBVR.
Session
(5): New Keyword Search 11:45-12:35
(chair: Akiyo Nadamoto,
Konan University, Japan))
11:45-12:10
Extending Keyword Search to Metadata on Relational Databases
Jiajun Gu, Hiroyuki Kitagawa
(University of Tsukuba)
12:10-12:35
An Extension of LCA based XML Keyword Search
Umaporn Supasitthimethee(Kyoto
University), Toshiyuki Shimizu(Kyoto University),
Masatoshi Yoshikawa (Kyoto
University), Kriengkrai Porkaew (University of Technology
Thonburi, Thailand), King Mongkut:s
(University of Technology Thonburi, Thailand)