Compiling abstract scientific workflows into Web service workflows

Bertram Ludaescher, I. Altintas, A. Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The authors present an approach for compiling "scientist-friendly" abstract workflow specifications into real-world executable workflows of Web service invocations, using a set of abstract-as-view definitions from a repository of abstract tasks. There have been a number of proposals and systems for scientific workflow management. However, our approach features unique aspects, in particular: the separation of abstract and concrete executable workflows; and the use of database mediation techniques to automatically translate AWFs into EWFs.

Original languageEnglish (US)
Title of host publication15th International Conference on Scientific and Statistical Database Management, SSDBM 2003
EditorsSilvia Nittel, Dimitrios Gunopulos
PublisherIEEE Computer Society
Pages251-254
Number of pages4
ISBN (Electronic)0769519644
DOIs
StatePublished - Jan 1 2003
Externally publishedYes
Event15th International Conference on Scientific and Statistical Database Management, SSDBM 2003 - Cambridge, United States
Duration: Jul 9 2003Jul 11 2003

Publication series

NameProceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
Volume2003-January
ISSN (Print)1099-3371

Other

Other15th International Conference on Scientific and Statistical Database Management, SSDBM 2003
CountryUnited States
CityCambridge
Period7/9/037/11/03

Keywords

  • Bioinformatics
  • Databases
  • Distributed computing
  • Drives
  • Geoscience
  • OWL
  • Ontologies
  • Supercomputers
  • Throughput
  • Web services

ASJC Scopus subject areas

  • Software
  • Information Systems

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  • Cite this

    Ludaescher, B., Altintas, I., & Gupta, A. (2003). Compiling abstract scientific workflows into Web service workflows. In S. Nittel, & D. Gunopulos (Eds.), 15th International Conference on Scientific and Statistical Database Management, SSDBM 2003 (pp. 251-254). [1214990] (Proceedings of the International Conference on Scientific and Statistical Database Management, SSDBM; Vol. 2003-January). IEEE Computer Society. https://doi.org/10.1109/SSDM.2003.1214990