Wishful Search: Interactive Composition of Data Mashups
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 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.
Composition Programmable Web Tag Cloud
Anton V. Riabov Eric Bouillet Mark D. Feblowitz Zhen Liu Anand Ranganathan
IBM T. J. Watson Research Center 19 Skyline Drive, Hawthorne, NY 10532, USA
国际会议
第十七届国际万维网大会(the 17th International World Wide Web Conference)(WWW08)
北京
英文
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）