学会員メーリングリストアーカイブ (2008年)

[dbjapan] 連続講演会のお知らせ: Emerging Topics in Databases (Prof. Vincent Oria)


日本データベース学会の皆様
国立情報学研究所の片山です。

国立情報学研究所に滞在中の Vincent Oria 先生(New Jersey Institute of
Technology)により、「Emerging Topics in Databases」というタイトルで連続
講演会を開催することになりましたのでお知らせ致します。

    Lecture 1: Multimedia Databases (Tue, Nov. 11)
    Lecture 2: Stream Data management (Wed, Nov. 12)
    Lecture 3: Peer-to-Peer Data management (Fri, Nov. 21)
    Lecture 4: Mobile and Ubiquitous Databases (Tue, Nov. 25)
    Lecture 5: Database Security (Thu, Nov. 27)
    ※ 時間は、各日とも 13:00〜16:00。

Oria 先生は、マルチメディアデータベース分野を中心に活躍しておられる研究者
で、SIGMOD 2005、VLDB 2001、ACM Multimedia 2001 を始め、多彩な発表文献をお
持ちです(http://dblp.uni-trier.de/db/indices/a-tree/o/Oria:Vincent.html)。

詳細は下記のとおりですので、ご参加をご検討いただけましたら幸いです。
よろしくお願い致します。

片山紀生/国立情報学研究所

========================================================================
連続講演会のお知らせ
(http://www.nii.ac.jp/event_jp/2008/11/associate_prof_vincent_oria_ne.shtml)

タイトル: Emerging Topics in Databases

講師: Associate Prof. Vincent Oria
      (New Jersey Institute of Technology)
      Home Page: http://web.njit.edu/~oria/
      DBLP: http://dblp.uni-trier.de/db/indices/a-tree/o/Oria:Vincent.html

日程: 11月11日(火), 12日(水), 21日(金), 25日(火), 27日(木)
時間: 各日とも 13:00〜16:00
参加費: 無料

場所: 国立情報学研究所 20F ミーティングルーム1 (部屋番号 2009)
      住所:東京都千代田区一ツ橋2-1-2 (学術総合センタービル)
      地図:http://www.nii.ac.jp/introduce/access1-j.shtml


Overall schedule:
Lecture 1: Multimedia Databases (Tue, Nov. 11)
Lecture 2: Stream Data management (Wed, Nov. 12)
Lecture 3: Peer-to-Peer Data management (Fri, Nov. 21)
Lecture 4: Mobile and Ubiquitous Databases (Tue, Nov. 25)
Lecture 5: Database Security (Thu, Nov. 27)


Biography:
Vincent Oria is currently an associate professor of computer science
at the New Jersey Institute of Technology. His research interests are
multimedia databases, moving object databases and database
security. He has held a visiting research scholar at National
Institute of Informatics (Tokyo, Japan), and a visiting professor or
researcher at FhG-IPSI (Darmstadt, Germany), ENST (Paris, France),
University of Paris-IX Dauphine (Paris, France), INRIA (Roquencourt,
France) and CNAM (Paris France). He has served on a number of
conference program committees.


Objectives:
Learn about some of the new trends in databases, and compare different
database architectures and query processes beneficial for certain
types of applications. This series of lecture will discuss topics that
are of growing importance in both the database research community and
industry. The topics that will be discussed are Multimedia database,
Streaming Data Management, Peer-to-peer data management, Mobile and
ubiquitous data management, and Database security and privacy. Each
topic will be covered in a 3 hour lecture.


Detailed description:

Lecture 1. Multimedia Databases
Nov. 11, 1pm - 4pm
Multimedia in principle means data of more than one medium. Multimedia
data usually refers to data representing multiple types of medium to
capture information and experiences related to objects and
events. Commonly used forms of data are numbers, alphanumeric, text,
images, audio, and video. A multimedia database should be a database
system that can help manage data of multiple type of medium. Due to
the complexity and differences of multimedia data, each type of medium
is in practice handled differently. In this lecture, I will discuss
issues related to building a real multimedia database system where
multiple media types can coexist.

Lecture 2. Stream Data management
Nov. 12, 1pm - 4pm
Stream data management refers to novel application needs where a large
amount of data has to be processed and analyzed in real time. It
differs from business activity monitoring in that the client of a
stream processing application is often a program, rather than a
human. Currently, stream processing is widely used in computing
real-time analytics in e-trading, maintaining the state of massively
multi-player Internet games, real-time risk analysis, network
monitoring, and national security applications. In the future, the
declining cost of sensor technology will create new markets for this
technology. The lecture will discuss application needs, system
architecture, query possessing and open issues.

Lecture 3. Peer-to-Peer Data management
Nov. 21, 1pm - 4pm
Peer-to-peer (P2P) computing consists of an open-ended network of
distributed computational peers, where each peer can exchange data and
services with a set of other peers, called acquaintances. Peers are
fully autonomous in choosing their acquaintances. We can also assume
that there is no global control in the form of a global registry,
global services, or global resource management, nor a global schema or
data repository. What are the data management issues raised by this
case, knowing that each peer may have data to share with other
peers. This lecture will present solutions proposed for data models,
architecture for a prototype implementation, and discuss open research
questions

Lecture 4. Mobile and Ubiquitous Databases
Nov. 25, 1pm - 4pm
In Ubiquitous databases, the data are physically attached to real
world "objects". Imagine a health care system where every patient
keeps his/her medical records for example. In this scenario, how to
share these data among different organizations consistently and
effectively and efficiently retrieve them? Another application is
moving object databases. A moving object is essentially a time
dependent geometry. One can distinguish between moving objects for
which only the time dependent position is of interest and those for
which also shape and extent are relevant and may change over
time. Querying these data raises some issues in the processing and
indexing as the data is not stable.

Lecture 5. Database Security
Nov. 27, 1pm - 4pm
The database server is certainly the most important server in a
company as it stores client information, product and service
information, financial information, human resource details etc. The
database server contains the data that keeps a company running. When
the database server is managed locally by the company, there are some
solutions in place that work assuming that the database administrator
can be trusted. When a company outsources its database is there a
solution that can allow the company to retrieve data while keeping
intruders including the database administrator from having access to
the database content?
========================================================================