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August 2010
- 18 participants
- 22 discussions
データベース学会の皆様
お茶大の渡辺です。
iDB2010ワークショップ講演会が明日に迫りましたので、
最終案内をさせていただきます。
是非ふるってご参加いただきますよう、よろしくお願いいたします。
======================================================================
iDB2010ワークショップ講演会
http://db-event.jpn.org/idb2010/index.php?route=invited-talks.html
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: 2010年8月3日 13:00〜17:00 (iDBワークショップ2010内イベント)
会場: 青山学院大学 青山キャンパス 総研ビル(14号館) 12F 大会議室
http://www.aoyama.ac.jp/other/map/aoyama.htmlcol
住所: 〒150-8366 東京都渋谷区渋谷4-4-25
参加費: 無料
参加登録: 不要
8月2日から4日にかけて青山学院大学青山キャンパスで開かれますiDBワーク
ショップ2010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,8月4日には情報処理学会データベースシステム研究会・情報基礎とアク
セス技術研究会および電子情報通信学会データ工学研究会が開催されます.
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.
■講演会プログラム (13:00〜17:00)
1. TransDec: A Data-Driven Framework for Decision-Making in
Transportation System
Prof. Cyrus Shahabi (University of Southern California)
2. A Unified Graph Model for Sentence-based Opinion Retrieval
Prof. Kam-Fai Wong (The Chinese University of Hong Kong)
3. Architecture-Driven Modelling Methodologies
Prof. Bernhard Thalheim
4. Networking the Asian WordNet on WordNet Management System (WNMS)
Dr. Virach Sornlertlamvanich (NECTEC, Thailand)
5. Good Papers and Good Presentations
Dr. Tetsuya Sakai (Microsoft Research Asia, China)
■講演概要
1. TransDec: A Data-Driven Framework for Decision-Making in
Transportation System
Prof. Cyrus Shahabi (University of Southern California)
The vast amounts of transportation datasets (traffic flow,
incidents, etc.) collected by various federal and state agencies
are extremely valuable in 1) real-time decision-making, planning,
and management of the transportation systems, and 2) conducting
research to develop new policies to enhance the efficacy of the
transportation systems. In this talk, I will present our
data-driven framework, dubbed TransDec (short for Transportation
Decision-Making), which enables real-time integration,
visualization, querying, and analysis of dynamic and archived
transportation data. I will show that considering the large size of
the transportation data, variety of the data (different modalities
and resolutions), and frequent changes of the data, implementation
of such a scalable system that allows for effective querying and
analysis of both archived and real-time data is an intrinsically
challenging data management task. Subsequently, I will focus on a
route-planning problem where the weights on the road-network edges
vary as a function of time due to the variability of traffic
congestion. I will show that naive approaches to address this
problem are either inaccurate or slow, motivating the need for new
solutions. Consequently, I will discuss our initial approach to
this problem and demonstrate its implementation within the TransDec
framework.
2. A Unified Graph Model for Sentence-based Opinion Retrieval
Prof. Kam-Fai Wong (The Chinese University of Hong Kong)
There is a growing research interest in opinion retrieval for
on-line users’opinions are becoming more and more popular in
business, social network, etc. Practically speaking, the goal of
opinion retrieval is to retrieve documents, which entail opinions
or comments, relevant to a target specified by the user's query. A
fundamental challenge in opinion retrieval is information
representation. Existing approaches are document-based and
documents are represented by bag-of-word. However, this
representation cannot maintain the association between topic
relevance and opinion relevance due to loss of contextual
information. For this reason, existing systems fail to capture the
pairing information between an opinion and its corresponding
target, and the relationship among opinions on an identical topic
is often overlooked. This in turn seriously affects opinion
retrieval performance. In this paper, we propose a sentence-based
opinion retrieval method. We define word pairs to capture
intra-sentence contextual information. Additionally, we consider
inter-sentence information to capture the relationships among the
opinions on the same topic. Finally, two types of information are
combined in a novel unified graph-based model, which can
effectively rank the documents. Compared with existing approaches,
experimental results on the COAE08 and COAE09 datasets show that
our model has achieved significant improvement.
3. Architecture-Driven Modelling Methodologies
Prof. Bernhard Thalheim
Classical software development methodologies take architectural
issues as granted or pre-determined. They thus neglect the impact
decisions for architecture have within the development
process. This omission is toleratable as long as we are considering
monolithic systems. It cannot however been kept whenever we move to
distributed systems. Web information systems pay far more attention
to users support and thus require sophisticated layout and playout
systems. These systems go beyond what has been known for
presentation systems. We thus discover that architecture plays a
major role during systems analysis, design and development. We
thus target on building a framework that is based on early
architectural decisions or on integration of new solutions into
existing architectures. We aim at development of novel approaches
to web information systems development that allow a co-evolution of
architectures and software systems.
4. Networking the Asian WordNet on WordNet Management System (WNMS)
Dr. Virach Sornlertlamvanich (NECTEC, Thailand)
WordNet has been recognized as an important language resource of
lexical semantic. Each sense of word is assigned a set of synonyms
called synset which plays an important role in representing the
meaning of the word. Moreover, many other lexical semantic
relations namely antonym, hypernym, hyponym, holonym, and meronym
are provided to construct a large-scaled network of lexical
semantic. The formalism of semantic representation in WordNet has a
great advantage in terms of building a computation lexical
database. Up to the present day, many approaches in information
retrieval, query expansion, machine translation, word sense
disambiguation, text classification and so on have shown the
promising results in using WordNet to increase the performance. As
a result, several efforts have been put to create WordNet for other
languages. Asian WordNet (AWN) is one of the approaches to build
the WordNet for Asian languages by translating and networking the
synsets through the defined synset ID of Princeton WordNet. To
prepare an initial WordNet for a certain language, we assign the
synset to a list of words from the existing bi-lingual dictionaries
based on an assignment algorithm. The degree of confidence in the
synset assignment has been proposed by computing the distance
between a word to a member of a synset. Word synonyms are also used
to serve in finding a candidate of synset. As a result, the list
of candidate synsets is proposed to a word entry together with a
degree of confidence score. In our approach, we show the efficiency
in nominating the synset candidate by using the most common lexical
information. The algorithm is evaluated against the implementation
of Thai-English, Indonesian-English, and Mongolian-English
bi-lingual dictionaries. The experiment also shows the
effectiveness of using the same type of dictionary from different
sources. The results are then reviewed collaboratively online via
http://www.asianwordnet.org/. To exhibit a cross language access
to the WordNet, we use the synset in the Princeton WordNet (PWN) as
a key to retrieve a set of words in the target language. Moreover,
the environment for developing the WordNet for Asian languages is
designed in a distributed manner on the WordNet Management System
(WNMS). Each language may take care of the environment and share
its own resulted WordNet through a common API of a web service
protocol. Currently, Asian WordNet (AWN) can serve some languages
depending on the progress of the percentage of translation namely,
Bengali (0.90%), Hindi (7.44%), Indonesian (27.58%), Japanese
(30.35%), Korean (35.93%), Lao (33.05%), Mongolian (1.38%), Burmese
(16.95%), Napali (0.03%), Sinhala (0.23%), Sundanese (0.06%), Thai
(55.20%), and Vietnamese (10.43%). On the WNMS, not only to browse
the WordNet of each language, the implementation in cross language
WordNet and multilingual dictionary can be seen by configuration on
the provided web API.
5. Good Papers and Good Presentations
Dr. Tetsuya Sakai (Microsoft Research Asia, China)
What makes a good research paper? What if your paper gets rejected?
What makes a good presentation at a conference? I will share with
you my experiences as an author, a Senior Program Committee member
and a Best Paper Committee member of ACM SIGIR, so that you might
want to answer these questions for yourself.
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日本データベース学会の皆様,
農工大の藤波と申します.
PerCom2011の論文募集のご案内を申し上げます.
重複して受信された場合は何卒ご容赦ください.
------------
Our sincere apologies if you receive multiple copies of this
announcement.
---------------------------------------------------------------------
CALL FOR PAPERS
PerCom 2011 - THE PREMIER IEEE CONFERENCE ON PERVASIVE COMPUTING
Ninth IEEE International Conference on Pervasive Computing and
Communications
PerCom 2011 (http//www.percom.org/)
Seattle, USA, March 21 - 25, 2011
---------------------------------------------------------------------
**** Paper Submission Deadline --- September 27, 2010 ****
Sponsored by
IEEE, IEEE Computer Society
The University of Texas at Arlington
--------------------------------------------------------------------
IEEE PerCom, now in its ninth edition, is established as the premier
annual scholarly venue in the areas of pervasive computing and
communications. Pervasive computing and communications has evolved
into an active area of research and development, due to the tremendous
advances in a broad spectrum of technologies and topics including
wireless networking, mobile and distributed computing, sensor systems,
RFID technology, and the ubiquitous mobile phone.
PerCom 2011 will be held in Seattle, which is the primary gateway to
the pacific northwest of the United States, famous for its
breathtaking natural beauty and diversified city culture. PerCom 2011
will provide a leading edge, scholarly forum for researchers,
engineers, and students alike to share their state-of-the art research
and developmental work in the broad areas of pervasive computing and
communications. The conference will feature a diverse mixture of
interactive forums: core technical sessions of high quality cutting-
edge research articles; targeted workshops on exciting topics; live
demonstrations of pervasive computing in action; inciting keynote
speeches; panel discussions from domain experts; and posters of
budding ideas.
TOPICS:
Research contributions are solicited in all areas pertinent to
pervasive computing and communications, including:
- Innovative pervasive computing applications
- Context modeling and reasoning
- Programming paradigms for pervasive systems
- Software evolution and maintenance in pervasive systems
- Middleware services and agent technologies
- Adaptive, autonomic and context-aware computing
- Mobile/Wireless computing systems and services in pervasive computing
- Energy-efficient and green pervasive computing
- Communication architectures for pervasive computing
- Ad hoc networks for pervasive communications
- Pervasive opportunistic communications and applications
- Enabling technologies for pervasive systems (e.g., wireless BAN, PAN)
- Positioning and tracking technologies
- Sensors and RFIDs in pervasive systems
- Multimodal sensing and context for pervasive applications
- Pervasive sensing, perception and semantic interpretation
- Smart devices and intelligent environments
- Trust, security and privacy issues in pervasive systems
- User interface, interaction, and persuasion
- Virtual immersive communications
- Wearable computers
- Standards and interfaces for pervasive computing environments
- Social and economic models for pervasive systems
WORKSHOPS AND AFFILIATED EVENTS:
Many workshops will be held in conjunction with the main conference.
Workshop papers will be included and indexed in the IEEE digital
libraries (Xplore), showing their affiliation with IEEE PerCom. As in
the past, PerCom 2011 will also feature a PhD Forum, Demonstrations
and a Work-in-Progress Session. Please visit the conference website
for details.
BEST PAPER AWARD:
The best paper will receive the prestigious Mark Weiser best paper
award. Papers of significant merit will be considered for a special
issue of the Elsevier journal of Pervasive and Mobile Computing (PMC).
SUBMISSION GUIDELINES:
Submitted papers must be unpublished and not considered elsewhere for
publication. Also, they must show a significant relevance to pervasive
computing and networking. Only electronic submissions in PDF format
will be considered. Papers must be in the IEEE format, 9 pages or less
in size, including references, figures and tables (at least 10pt font,
2-column format). All papers will be managed electronically through
EDAS. Submitted papers will undergo a rigorous review process handled
by the Technical Program Committee.
IMPORTANT DATES:
Paper Registration: Sept. 24, 2010
Paper submission: Sept. 27, 2010
Author notification: Dec. 21, 2010
Camera-ready due: Jan. 28, 2011
For Further Information, please contact the PC chair: jaga(a)itee.uq.edu.au
or visit the conference website (http://www.percom.org)
ORGANIZING COMMITTEE:
General Chair: Diane Cook, Washington State University, USA
Vice General Chair: Jie Liu, Microsoft Research, USA
Technical Program Chair: Jadwiga Indulska, University of Queensland,
Australia
Vice Technical Program Chairs:
Claudio Bettini, University of Milan, Italy
Roy Campbell, University of Illinois, USA
Cecilia Mascolo, University of Cambridge, UK
Steering Committee Chair: Marco Conti, IIT-CNR, Italy
Workshops Chairs:
Scott Midkiff, Virginia Tech, USA
Franco Zambonelli, University of Modena and Reggio, Italy
Panel Chair: Sajal Das, University of Texas at Arlington, USA
Work In Progress Chairs:
Daniela Nicklas, University of Oldenburg, Germany
WenZhan Song, Washington State University Vancouver, USA
Publicity Chairs:
Alexander De Luca, University of Munich, Germany
Kaori Fujinami, Tokyo University of Agriculture and Technology,
Japan
Damla Turgut, University of Central Florida, USA
Dinh Phung, Curtin University of Technology, Australia
PhD Forum Chair: Christine Julien, University of Texas at Austin, USA
Publications Chairs:
Peizhao Hu, National ICT Australia, Australia
Ryan Wishart, Imperial College London, UK
Keynote Chair: Silvia Giordano, SUSPI, Switzerland
Finance and Registration Chair: Gergely Záruba, University of Texas at
Arlington, USA
Local Organization Chair: David Levine, University of Texas at
Arlington, USA
Website Liason: Nayantara Mallesh, University of Texas at Arlington, USA
TECHNICAL PROGRAM COMMITTEE:
Jalal Al Muhtadi, King Saud University, Saudi Arabia
Giuseppe Anastasi, University of Pisa, Italy
Stefano Basagni, Northeastern University, USA
Martin Bauer, NEC Europe, Germany
Christian Becker, Universität Mannheim, Germany
Paolo Bellavista, University of Bologna, Italy
Guohong Cao, Pennsylvania State University, USA
Jiannong Cao, Hong Kong Polytechnic University, HK
Surendar Chandra, University of Notre Dame, USA
Yingying Chen, Stevens Institute of Technology, USA
Paolo Costa, Microsoft Research, UK
Christos Efstratiou, University of Cambridge, UK
Karoly Farkas University of West Hungary, Hungary
Christian Floerkemeier, MIT, USA
Silvia Giordano, SUSPI, Switzerland
Qi Han, Colorado School of Mines, USA
Urs Hengartner, University of Waterloo, Canada
Vana Kalogeraki, Athens University of Economics and Business, Greece
Achilles Kameas, Hellenic Open University, Greece
Mohan Kumar, University of Texas at Arlington, USA
Brent Lagesse, Oak Ridge National Laboratory, USA
Yonghe Liu, University of Texas at Arlington, USA
Seng W. Loke, La Trobe University, Australia
Ulrike Lucke University of Rostock, Germany
Paul Lukowicz, University of Passau, Germany
Marco Mamei, Università di Modena e Reggio Emilia, Italy
Pedro Marron, University of Duisburg-Essen and Fraunhofer IAIS,
Germany
Martin Mauve, Heinrich Heine University Düsseldorf, Germany
Julie McCann, Imperial College, UK
Scott Midkiff, Virginia Tech, USA
Bernhard Mitschang, University of Stuttgart, Germany
Refik Molva, Eurecom, France
Max Mühlhäuser, Technical University Darmstadt, Germany
Matt Mutka, Michigan State University, USA
Klara Nahrstedt, University of Illinois Urbana-Champaign, USA
Lionel M. Ni, Hong Kong University of Science & Technology, HK
Daniela Nicklas, Carl von Ossietzky Universität Oldenburg, Germany
Eamonn O'Neill, University of Bath, UK
Joerg Ott, Helsinki University of Technology, Finland
Justin Mazzola Paluska, MIT, USA,
Andrea Passarella, IIT-CNR, Italy
Tom Pfeifer, Waterford Institute of Technology, Ireland
Hubert Pham, MIT, USA
Dinh Phung, Curtin University of Technology, Australia
Gian Pietro Picco, University of Trento, Italy
Marius Portmann, University of Queensland, Australia
Stefan Poslad, Queen Mary University of London, UK
Anand Ranganathan, IBM T.J. Watson Research Center, USA
Nishkam Ravi, Intel, Santa Clara, USA
Daniele Riboni, University of Milan, Italy
Kay Roemer, ETH Zurich, Switzerland
George Roussos, Birkbeck College, University of London, UK
Enrico Rukzio, Lancaster University, UK
Ichiro Satoh, National Institute of Informatics, Japan
Gregor Schiele, University of Mannheim, Germany
Aruna Seneviratne, NICTA, Australia
Behrooz Shirazi, Washington State University, USA
Morris Sloman, Imperial College London, UK,
Thomas Strang, German Aerospace Center, Germany
Gerhard Tröster, ETH Zürich, Switzerland
Nalini Venkatasubramamian, University of California at Irvine, USA
Steve Ward, MIT, USA
Li Xiao, Michigan State University, USA
Franco Zambonelli, University of Modena and Reggio, Italy
Gergely Zaruba, University of Texas at Arlington, USA
Daqing Zhang, GET/INT-National Institute of Telecommunications,
France
Yanchao Zhang, New Jersey Institute of Technology, USA
----------------------------------------------------------
Kaori Fujinami, Ph.D
Tokyo Univ. of Agriculture and Technology
fujinami(a)cc.tuat.ac.jp
Tel: +81-42-388-7499
http://www.tuat.ac.jp/~fujinami/lab/fuji-en.html
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