ServiceMap: Providing Map and GPS Assistance to Service Composition in Bioinformatics

  • Authors:
  • Wei Tan;Jia Zhang;Ravi Madduri;Ian Foster;David De Roure;Carole Goble

  • Affiliations:
  • -;-;-;-;-;-

  • Venue:
  • SCC '11 Proceedings of the 2011 IEEE International Conference on Services Computing
  • Year:
  • 2011

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Abstract

The wide use of Web services and scientific workflows has enabled bioinformaticians to reuse experimental resources and streamline data processing. This paper presents a follow-up work of our network analysis on my Experiment, an online scientific workflow repository. The motivation comes from two common questions raised by bio-scientists: 1) Given the services that I plan to use, what are other services usually used together with them? and 2) Given two or more services I plan to use together, can I find an operation chain to connect them based on others' past usage? Aiming to provide a system-level GPS-like support to answer the two questions, we present Service Map, a network model established to study the best practice of service use. Two approaches are proposed over the Service Map: association rule mining and relation-aware, cross workflow searching. Both approaches were validated using the real-life data obtained from the my Experiment repository.