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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 composi-
tion. We have developed an intelligent automatic composi-
tion engine in MARIO together with a simple user interface
using an intuitive "wishful search" abstraction. It thus al-
lows users to explore the space of potentially composable
data mashups and preview composition results as they iter-
atively refine their "wishes", i.e. mashup composition goals.
It also lets users discover and make use of system capabil-
ities without having to understand the capabilities of indi-
vidual components, and instantly reflects changes made to
the components by presenting an aggregate view of changed
capabilities of the entire system. We describe our experi-
ence with using MARIO to compose flows of Yahoo Pipes
components.
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