CS 856 - Web Data Management

M. Tamer Özsu
DC 3121, ext. 6847
tozsu@db.uwaterloo.ca

Course Objectives

The objective of the course is to study the new data management problems (and solutions) that emerge in the Web environment. The course will quickly cover the classical distribution issues and then it will focus on Web data management

Prerequisites

Good knowledge of database internals at least at the level of CS 448/648 and of distributed computing/computer networks at the level of CS454 and 456 is required. Of course, students are expected to have the maturity to deal with data structures and algorithms.

Course Outline

The following is not the complete list and will be updated. Note that I will only lecture on the first two topics, and then it will be the students who will read and present material. Each of the following can and will be subdivided.

Introduction to distributed database management issues
Internet and the Web
Web caching
Web querying
Web data integration (and XML, of course)
Web mining
Peer-to-peer systems
Data distribution alternatives (broadcasting, publish/subscribe, etc)
Streaming data management

Textbooks and References

Principal reference:

There are no required textbooks, but the following can be helpful in understanding the fundamental distributed database problems:
M.T. Özsu and P. Valduriez, Principles of Distributed Database Systems, 2nd edition, Prentice-Hall, 1999.

Other useful references:

The following is not a complete list, but a starting point.

A. Abiteboul, P. Buneman, and D. Suciu, Data on the Web, Morgan-Kaufman, 1999.
M. Rabinovich and O. Spatscheck. Web Caching and Replication, Addison Wesley; 2002.
A. Helal et al., Any Time, Anywhere Computing, Kluwer, 1999.
E. Pitoura and G. Samaras, Data Management for Mobile Computing, Kluwer, 1998.
J. Han and M. Kamber, Data Mining - Concpets and Techniques, Morgan-Kaufman, 2001.

We will also read many papers from literature. These will be listed on the weekly schedule page.

Workload and Evaluation

(20%) Two paper critiques to be chosen from conferences or journals
(20%) Presentation of one lecture or being a discussant on one topic. See the guidelines.
(20%) Position papers. See the guidelines.
(40%) A term project that is an in-depth study of one problem. See the guidelines.

There will be no tests or exams.

University of Waterloo	Computer Science	M.T. Özsu
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