Quality-aware service-oriented data integration: requirements, state of the art and open challenges

  • Authors:
  • Schahram Dustdar;Reinhard Pichler;Vadim Savenkov;Hong-Linh Truong

  • Affiliations:
  • Vienna University of Technology;Vienna University of Technology;Vienna University of Technology;Vienna University of Technology

  • Venue:
  • ACM SIGMOD Record
  • Year:
  • 2012

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Abstract

With a multitude of data sources available online, data consumers might find it hard to select the best combination of sources for their needs. Aspects such as price, licensing, service and data quality play a major role in selecting data sources. We therefore advocate qualityaware data services as a natural data source model for complex data integration tasks and mash-ups. This paper focuses on requirements, state of the art, and the main research challenges on the way to the realization of such services.