International Workshop on
Inconsistency and Incompleteness in Databases (IIDB)

March 26, 2006, Munich (Germany)

Collocated with EDBT 2006


Call for PapersSubmissionPublicationImportant DatesOrganization CommitteeProgram CommitteeCFPPDFPre-proceedingsPDF  ]


Program

The workshop will take place at the EDBT conference venue. The IIDB workshop has been assigned to the room called Club #1.

08:50 am--09:00 am Welcome
09:00 am--10:00 am Keynote talk by Maurizio Lenzerini
10:00 am--10:30 am Coffee break
10:30 am--12:00 am Regular paper session (papers A, B, and C)
12:00 am--01:30 pm Lunch
01:30 pm--02:30 pm Regular paper session (papers D and E)
02:30 pm--03:00 pm Position paper session (papers 1 and 2)
03:00 pm--03:30 pm Coffee break
03:30 pm--04:45 pm Position paper session (papers 3 to 7)
04:45 pm--05:00 pm General discussion

KEYNOTE TALK by Maurizio Lenzerini
Inconsistency Tolerance in P2P Data Integration
REGULAR PAPERS:
  1. DART: a Data Acquisition and Repairing Tool
    (B. Fazzinga, S. Flesca, F. Furfaro, F. Parisi)
  2. On the First-order Reducibility of Unions of Conjunctive Queries over Inconsistent Databases
    (D. Lembo, R. Rosati, M. Ruzzi)
  3. Semantically Correct Query Answers in the Presence of Null Values
    (L. Bravo, L. Bertossi)
  4. Models for Incomplete and Probabilistic Information
    (T.J. Green, V. Tannen)
  5. Preference-Driven Querying of Inconsistent Relational Databases
    (S. Staworko, J. Chomicki, J. Marcinkowski)
POSITION PAPERS:
  1. Taming Data Explosion in Probabilistic Information Integration
    (A. de Keijzer, M. van Keulen, Y. Li)
  2. Model Theoretic and Fixpoint Semantics for Preference Queries over Imperfect Data
    (P. Vojtas)
  3. Consistency Management Framework for Realtime Disaster Information Systems
    (I. Noda)
  4. Dealing with Inconsistencies and Incompleteness in Database Update
    (G. De Giacomo, M. Lenzerini, A. Poggi, R. Rosati)
  5. Querying Incomplete Data: Towards Practical Cases
    (A. Cali)
  6. A Note on Database Repairing by Value Modification
    (J. Wijsen)
  7. Some Research Directions in Consistent Query Answering: A Vision
    (L. Bertossi)

Call for Papers

Database textbooks generally explain that integrity constraints should be satisfied at all times because they capture the set of all legal databases. Nevertheless, data inconsistency is a phenomenon that often occurs in practice. The most common reason for inconsistency is the need to integrate distributed, independent data sources: different databases that are consistent by themselves can contain conflicting tuples. The conflicts are revealed only when the tuples are brought together in an integrated database. In such situations, it is of practical importance to know how to deal with violations of integrity constraints. In general, there is no single best way to restore consistency, leaving us with a multitude of possible repairs. Even when we do not know the right repair, we can still try to prevent query answers from containing incorrect tuples. This idea is known as consistent query answering (CQA).

A similar concept arises in the context of incomplete databases: when an incompletely specified database can be completed in more than one way, we may want to restrict query answers to contain only the tuples that are in the query answer in each possible completion. Incomplete databases can arise, for example, when the data exchange rules between a source and a target database only partially determine the target. Also, an incomplete database may play a role similar to a set of repairs, representing different ways of solving existing data conflicts.

Another related area is that of uncertainty handling, where numeric probability factors are associated with data. Such data represent observations and arise in sensor networks or distributed databases. For example, the position of a moving object can only be ascertained with some degree of probability.

Recently, there has been a surge of interest in the areas of inconsistent, incomplete, and probabilistic databases, partly driven by the demands of data integration and sensor database applications. The goal of this EDBT Workshop is to bring together database researchers working on inconsistency, incompleteness, and uncertainty to review recent progress and outline future research directions. The focus of the workshop will be primarily on semantic and computational issues arising in the representation and querying of inconsistent, incomplete, and uncertain databases.


Topics of Interest

Topics of interest include, but are not limited to:


Submission Guidelines

Paper submissions must be in electronic form using Portable Document Format (.pdf). Papers should be formatted according to the Springer-Verlag LaTeX2e style llncs for Lecture Notes in Computer Science, which is available at http://www.springer.de/comp/lncs/authors.html. The length should not exceed 15 pages.

The submissions will be judged for scientific quality and relevance. At least one author of each accepted paper must attend the workshop to present the work.

Authors shall submit their papers electronically through the submission page for IIDB 2006.


Paper Publication

All accepted papers will be included in the informal proceedings to be distributed at the workshop. Papers may be accepted for full presentation at the workshop and publication in the proceedings, or for a short/poster presentation and publication of a 3-page abstract.

As with the previous edition of EDBT, post-proceedings of EDBT workshops will be published by Springer-Verlag in the series Lecture Notes in Computer Science. Regular papers (full presentation) will be considered for inclusion in the formal proceedings.


Important Dates

Paper Submission Deadline: December 22, 2005
Notification of Acceptance: January 25, 2006
Camera Ready Copy Due: February 22, 2006
Workshop: March 26, 2006


Organization Committee


Program Committee


Please send suggestions and comments to:
jef.wijsen at umh.ac.be

Last Updated: February 3, 2006