Not logged in.

Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title Data provenance: A Cctegorization of existing approaches
Organization Unit
Authors
  • B Glavic
  • K R Dittrich
Editors
  • A Kemper
  • H Schöning
  • T Rose
  • M Jarke
  • T Seidl
  • C Quix
  • C Brochhaus
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
Language
  • English
ISBN 978-3-88579-197-3
Page Range 227 - 241
Event Title 12. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme"
Event Type conference
Event Location Aachen, Germany
Event Start Date March 7 - 2007
Event End Date March 9 - 2007
Series Name GI-Edition - Lecture notes in informatics (LNI). Proceedings
Number 103
Place of Publication Bonn
Publisher Gesellschaft für Informatik (GI)
Abstract Text In many application areas like e-science and data-warehousing detailed information about the origin of data is required. This kind of information is often referred to as data provenance or data lineage. The provenance of a data item includes information about the processes and source data items that lead to its creation and current representation. The diversity of data representation models and application domains has lead to a number of more or less formal definitions of provenance. Most of them are limited to a special application domain, data representation model or data processing facility. Not surprisingly, the associated implementations are also restricted to some application domain and depend on a special data model. In this paper we give a survey of data provenance models and prototypes, present a general categorization scheme for provenance models and use this categorization scheme to study the properties of the existing approaches. This categorization enables us to distinguish between different kinds of provenance information and could lead to a better understanding of provenance in general. Besides the categorization of provenance types, it is important to include the storage, transformation and query requirements for the different kinds of provenance information and application domains in our considerations. The analysis of existing approaches will assist us in revealing open research problems in the area of data provenance.
Free access at Official URL
Official URL http://www.btw2007.de/paper/p227.pdf
Related URLs
Other Identification Number merlin-id:384
PDF File Download from ZORA
Export BibTeX
EP3 XML (ZORA)
Keywords provenance, survey
Additional Information 12. GI-Fachtagung für Datenbanksysteme in Business, Technologie und Web 5. bis 9. März 2007 – Aachen