A scientificWorkflow approach to distributed geospatial data processing using web services

Efrat J̈ager, Ilkay Altintas, Jianting Zhang, Bertram Lud̈ascher, Deana Pennington, William Michener

Research output: Contribution to journalConference articlepeer-review


Geospatial analyses of distributed data from surveys and sensors are often stored and managed in diverse regional, national and global repositories. The nature of scientific processes requires composition of these resources in a meaningful order to solve a specific geoscience problem. These tasks can be viewed as scientific workflows. Web based interfaces allow access to remote data and tools, and enable running computational experiments using different online resources. However, it requires manual processing to combine multiple resources in pipelines and scientists still need IT experts to automate their large-scale scientific workflows. The challenging problem is how to enable the scientists to harvest online data and models for designing and executing experiments in a seamless manner. A solution becomes feasible by the introduction of Web Services in a variety of scientific domains. These services can be discovered and composed through generic visual interfaces and scientific workflow tools. For this purpose, we present a complete framework for registering, discovering, composing and executing Web Services to support online science.

Original languageEnglish (US)
Pages (from-to)87-90
Number of pages4
JournalProceedings of the International Conference on Scientific and Statistical Database Management, SSDBM
StatePublished - 2005
Externally publishedYes
Event17th International Conference Scientific and Statistical Database Management, SSDBM 2005 - Santa Barbara, CA, United States
Duration: Jun 27 2005Jun 29 2005

ASJC Scopus subject areas

  • Software
  • Information Systems


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