Abstract
Provenance metadata can be valuable in data sharing settings, where it can be used to help data consumers form judgements regarding the reliability of the data produced by third parties. However, some parts of provenance may be sensitive, requiring access control, or they may need to be simplified for the intended audience. Both these issues can be addressed by a single mechanism for creating abstractions over provenance, coupled with a policy model to drive the abstraction. Such mechanism, which we refer to as abstraction by grouping, simultaneously achieves partial disclosure of provenance, and facilitates its consumption. In this paper we introduce a formal foundation for this type of abstraction, grounded in the W3C PROV model; describe the associated policy model; and briefly present its implementation, the ProvAbs tool for interactive experimentation with policies and abstractions.
Original language | English |
---|---|
Title of host publication | Provenance and Annotation of Data and Processes |
Editors | Bertram Ludäscher, Beth Plale |
Place of Publication | Cham |
Publisher | Springer Verlag |
Pages | 3-15 |
Number of pages | 13 |
Volume | 8628 |
ISBN (Electronic) | 978-3-319-16462-5 |
ISBN (Print) | 978-3-319-16461-8 |
DOIs | |
Publication status | Published - 21 Mar 2015 |
Keywords
- Artificial Intelligence (incl. Robotics)
- Database Management
- Information Storage and Retrieval
- Information Systems Applications (incl. Internet)
- Management of Computing and Information Systems
- Computers and Society