NDLI: Beijing, China Wishful Search: Interactive Composition of Data Mashups

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Beijing, China Wishful Search: Interactive Composition of Data Mashups

Content Provider	CiteSeerX
Author	Bouillet, Eric Riabov, Anton V. Liu, Zhen Feblowitz, Mark D.
Abstract	With the emergence of Yahoo Pipes and several similar services, 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.
File Format	PDF
Access Restriction	Open
Subject Keyword	Runtime Orchestration China Wishful Search Changed Capability Data Mashups Tool Simple Individual Component Data Mashup Tool Business User Simple User Interface Preview Composition Result Yahoo Pipe Component Several Similar Service Interactive Composition Intelligent Automatic Composition Engine Yahoo Pipe Data Mashup Composition Entire System Aggregate View Intuitive Wishful Search Abstraction User Discover New Tool System Capability Little Programming Experience Pressing Issue Mashup Composition Goal Mashup Automation Composable Data Mashups
Content Type	Text
Resource Type	Article

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