Data Mashups for Situational Applications
COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE(2008)
摘要
Situational applications require business users to create combine, and catalog data feeds and other enterprise data sources. Damia is a lightweight enter prise data integration engine inspired by the Web 2.0 mashup phenomenon. It consists of (1) a browser-based user-interface that allows for the specification of data mashups as data flow graphs using a set of Damia operators specified by programming-by-example principles, (2) a server with an execution engine, as well as (3) APIs for searching, debugging, executing and managing mashups. Damia provides a base data model and primitive operators based on the XQuery Infoset. A feed abstraction built on that model enables combining, filtering and transforming data feeds. This paper presents an overview of the Damia system as well as a research vision for data-intensive situational applications. A first version of Damia realizing some of the concepts described in this paper is available as a webserivce [17] and for download as part of IBM's Mashup Starter Kit [18].
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