Data Uncertainty Model for Mashup

نویسندگان

  • Xin Gao
  • Wenhui Hu
  • Wei Ye
  • Shikun Zhang
چکیده

Mashup is a new kind integration application and users can compose related services as components to build new application—the mashups. Now the services on the web have different degrees of data uncertainty, including data error, stale data, and improper data processing and so on. We provide a data uncertainty model for mashup component which is assessed in the space of the homogeneous components that have the same functionality, and then we give the uncertainty computation mechanism of mashups based on the data uncertainty of mashup components and the computation sequence for different composition relationships. Keywords-component; mashup; data uncertainty

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تاریخ انتشار 2011