The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Empowering Web Service Search with Business Know-How: Application to Scientific Workflows
Abstract
Scientists who are not proficient in computer science and yet wish to perform in-silico experiments and harness the power of Service Oriented Architecture are presented with dozens of daunting technical solutions: scientific workflow frameworks. While these systems do take care of complex technical aspects such as Grid technologies, little is done to support transfer of service composition knowledge and know-how. The authors of this chapter believe the problem lies in the scientific workflow models which are too low-level and too anchored in the underlying technologies to allow efficient reuse and sharing. This chapter’s approach, called SATIS, relies on a goal-driven model, that has proven its worth in requirement engineering, and the Semantic Web technologies to leverage the collective knowledge and know-how in order to bridge the gap between service providers and end-users.
Related Content
Preethi, Sapna R., Mohammed Mujeer Ulla.
© 2023.
16 pages.
|
Srividya P..
© 2023.
12 pages.
|
Preeti Sahu.
© 2023.
15 pages.
|
Vandana Niranjan.
© 2023.
23 pages.
|
S. Darwin, E. Fantin Irudaya Raj, M. Appadurai, M. Chithambara Thanu.
© 2023.
33 pages.
|
Shankara Murthy H. M., Niranjana Rai, Ramakrishna N. Hegde.
© 2023.
23 pages.
|
Jothimani K., Bhagya Jyothi K. L..
© 2023.
19 pages.
|
|
|