On user views in scientific workflow systems

Susan Davidson, Yi Chen, Peng Sun, Sarah Cohen-Boulakia

Research output: Contribution to journalConference articlepeer-review


An increasing number of scientific workflow systems are providing support for the automated tracking and storage of provenance information. However, the amount of provenance information recorded can become very large, even for a single execution of a workflow - [6] estimates a ten-fold blowup of the size of the original input data. There is therefore a need to provide ways of allowing users to focus their attention on meaningful provenance information in provenance queries. We highlight recent work in this area on user views, showing how they can be efficiently computed given user input on relevance, or and how pre-existing views can be corrected to provide accurate provenance information. We also discuss how to search a repository of workflow specifications and their views, returning workflows at an appropriate level of complexity with respect to a hierarchy of views.

Original languageEnglish (US)
JournalCEUR Workshop Proceedings
StatePublished - 2009
Externally publishedYes
Event1st International Workshop on the Role of Semantic Web in Provenance Management, SWPM 2009, Collocated with the 8th International Semantic Web Conference, ISWC 2009 - Washington, DC, United States
Duration: Oct 25 2009Oct 25 2009

All Science Journal Classification (ASJC) codes

  • General Computer Science


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