A methodology for quality-based mashup of data sources

  • Authors:
  • Muhammad Raza;Farookh khadeer Hussain;Elizabeth Chang

  • Affiliations:
  • Curtin University of Technology, Perth, Australia;Curtin University of Technology, Perth, Australia;Curtin University of Technology, Perth, Australia

  • Venue:
  • Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
  • Year:
  • 2008

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Abstract

The concept of mashup is gaining tremendous popularity and its application can be seen in a large number of domains. Enterprises using and relying upon mashup have improved their mass collaboration and personalization. In order for mashup technology to be widely accepted and widely used, we need a methodology by which can make use of the quality of the input to the mashup process as a governing principle to carry out mashup. This paper reviews the concept of mashup in different domains and proposes a conceptual solution framework for providing quality based mashup process.