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Seminar WS08/09: Dataspaces
Dataspaces are a new concept in data management for diverse data
integration applications in which the data sources are only loosely
connected. Traditional data integration systems assume that schema and
mappings of data sources and integrated system do not change very often,
whereas in dataspaces, an incremental construction of the integration
system is envisioned. In dataspaces, data integration at a detailed
level is only done when it is really required; initially, a coarse
grained integration can be done which only supports a limited set of
functions. This is also called "pay-as-you-go" integration.
In this seminar, recent research on dataspaces and related topics will be discussed.
Schedule
 | June 16-29, 2008: Registration through the central registration for
seminars and lab courses of the
Department of Computer
Science. |
| July 16, 2008, 1.30pm: First meeting in the seminar room of Informatik
5
 | Introduction & Assignment of topics |
|
| October 31, 2008: First abstract for the seminar paper (1 page) |
| November 20, 2008: First draft of the seminar paper (3-4 pages) |
| December 31, 2008: Final version of the seminar paper (13-18 pages,
about 5.000-7.500 words, excluding references) |
| One week before presentation: Draft version of the slides |
| January 2009: Presentations (about 45mins each) |
Language
Presentations have to be done in English. The seminar paper can be
written in German or English.
Prerequisites
Students must be enrolled in a computer science program (Bachelor-Informatik, Diplom-Informatik,
SSE, or MI). Some background in database systems, knowledge
representation and data modeling is helpful.
Registration
Registration is only possible from June 16 to June 29 through the
central registration for seminars and lab courses of the
Department of Computer
Science.
Topics
| Pay-as-you go Integration |
| Data Cleaning |
| Schema Mappings |
| Peer Data Management Systems |
| Data Provenance & Data Lineage |
| Uncertainty in Databases |
| Inconsistency Tolerance in Databases |
| Data Streams |
| Dataspaces and the Semantic Web |
| Metadata Management for Dataspaces |
| User Feedback in Dataspaces |
| Keyword-based Querying of Structured Data |
| Structured Queries for Unstructured Data |
| Top-K Queries in Databases |
Contact
Sandra Geisler, David Kensche,
Xiang Li, Dr.
Christoph Quix
{geisler, kensche, li, quix}@dbis.rwth-aachen.de
Lehrstuhl Informatik 5
RWTH Aachen
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