Advanced Topics in Databases

Goals and Objectives:
In recent years, there has been an explosion of information in a variety of environments that pose significantly different data management challenges than traditional database domains. Examples include semantic heterogeneity, sensor networks, World Wide Web, scientific domains, XML, P2P networks etc. This course is a combination of various advanced topics. The aim of this course is to explore the latest techniques, trends, ideas, and what are involved in designing and evaluating the cutting-edge database technologies.

Course Description:

  • Data integration.
  • Semantic heterogeneity.
  • Ontology engineering.
  • Data caching and replication.
  • Streaming data.
  • Semi-structured data (i.e., XML) storage.
  • Mapping between XML and relational databases.
  • Pervasive and mobile distributed database management

Text Books:

  • M.T. Ozsu, P. Valduriez (eds.): Principles of Distributed Database Systems (2nd Edition), Prentice Hall, 1999
  • K.R. Dittrich and A. Geppert, Component Database Systems, Morgan-Kaufman, 2001.
  • A. Abiteboul, P. Buneman, and D. Suciu, Data on the Web, Morgan-Kaufman, 1999.
  • 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.
  • P. Bernstein and E. Newcomer, Principles of Transaction Processing. Morgan Kaufmann, 1997.
  • G. Weikum and G. Vossen, Transactional Information Systems. Morgan Kaufmann, 2002.
  • M. Buretta, Data Replication. Wiley, 1997.

Research Papers:

  • Data Integration:
    • M. Lenzerini, "Data integration: A theoretical perspective", Proc. Symp. on Principles of Database Systems (PODS), 2002, pages: 233-245
    • E. Rahm and P.A. Bernstein, "A Survey of Approaches to Automatic Schema Matching", VLDB Journal, 10: 334-350, 2001.
    • L. M. Haas, D. Kossmann, E. L. Wimmers, and J. Yang, "Optimizing Queries Across Diverse Data Sources", In Proc. VLDB Conference, pages: 276-285, 1997
    • R. Fagin. "Combining Fuzzy Information: an Overview, ACM SIGMOD Record, 31(2), 2002
    • C. Batini, and M. Lenzerini, "A Comparative Analysis of Methodologies for Database Schema Integration", ACM Computing Surveys, Vol. 18, No. 4: 323 -364 December 1986
    • P. Shvaiko and J. Euzenat, "A Survey of Schema-based Matching Approaches", Journal on Data Semantics ,Vol: 4, pages: 146 -171, Lecture Notes in Computer Science 3730 Springer 2005.
    • R.J. Miller, et.al., "Schema Mapping as Query Discovery", In Proc. of the 26th VLDB Conference, pages: 77 - 88, Egypt, 2000
    • H. Do, E. Rahm, "COMA - A System for Flexible Combination of Schema Matching Approaches", In Proc. of the 28th VLDB Conference, pages: , 2002
  • P2P Data Management

     

Furthermore, a collection of papers addressing specific topics will be distributed in class.

Related Links
Course Name Location
74.783 Distributed Database Systems Department of Computer Science, University of Manitoba Canada
COMP-577A: Distributed Database Systems School of Computer Science, McGill University, Canada
605.741 - Distributed Database Systems on the World Wide Whiting School of Engineering, Johns Hopkins University Elkridge, MD 21075, USA
Distributed and Parallel Database Systems Department of Information Technology,
Uppsala University, Sweden
Parallel and Distributed Databases Information and Communication Systems Research Group, Institute for Pervasive Computing, ETH Zurich,Switzerland
Distributed Information Systems Distributed Information Systems Laboratory
School of Computer and Communication Sciences, EPFL, Lausanne, Switzerland
Distributed Databases Faculty of Computer Science, Free University of Bozen - Bolzano, Italy
   

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