Refereed Papers

Track: Web Engineering -- Web Service Composition

Paper Title:
Wishful Search: Interactive Composition of Data Mashups

Authors:

• Anton V. Riabov(IBM T. J. Watson Research Center)
• Eric Bouillet(IBM T. J. Watson Research Center)
• Mark D. Feblowitz(IBM T. J. Watson Research Center)
• Zhen Liu(IBM T. J. Watson Research Center)
• Anand Ranganathan(IBM T. J. Watson Research Center)

Abstract:
With the emergence of Yahoo Pipes and several similar ser- vices, data mashup tools have started to gain interest of business users. Making these tools simple and accessible to users with no or little programming experience has become a pressing issue. In this paper we introduce MARIO (Mashup Automation with Runtime Orchestration and Invocation), a new tool that radically simplifies data mashup composition. We have developed an intelligent automatic composition engine in MARIO together with a simple user interface using an intuitive wishful search abstraction. It thus allows users to explore the space of potentially composable data mashups and preview composition results as they iteratively refine their wishes, i.e. mashup composition goals. It also lets users discover and make use of system capabilities without having to understand the capabilities of individual components, and instantly reflects changes made to the components by presenting an aggregate view of changed capabilities of the entire system. We describe our experience with using MARIO to compose flows of Yahoo Pipes components.

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