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Data Mashups for Situational Applications

  • Volker Markl
  • Mehmet Altinel
  • David Simmen
  • Ashutosh Singh
Part of the Communications in Computer and Information Science book series (CCIS, volume 8)

Abstract

Situational applications require business users to create combine, and catalog data feeds and other enterprise data sources. Damia is a lightweight enterprise 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].

Keywords

Execution Engine Data Flow Graph Metadata Service Enterprise Data Situational Application 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Volker Markl
    • 1
  • Mehmet Altinel
    • 1
  • David Simmen
    • 1
  • Ashutosh Singh
    • 1
  1. 1.IBM Almaden Research CenterSan JoseUSA

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