Brokering multisource data with quality constraints

  • Authors:
  • Danilo Ardagna;Cinzia Cappiello;Chiara Francalanci;Annalisa Groppi

  • Affiliations:
  • Department of Electronics and Information, Politecnico di Milano;Department of Electronics and Information, Politecnico di Milano;Department of Electronics and Information, Politecnico di Milano;Department of Electronics and Information, Politecnico di Milano

  • Venue:
  • ODBASE'06/OTM'06 Proceedings of the 2006 Confederated international conference on On the Move to Meaningful Internet Systems: CoopIS, DOA, GADA, and ODBASE - Volume Part I
  • Year:
  • 2006

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Abstract

Access to multisource heterogeneous data is a fundamental research issue in a variety of contexts, including syndicated data retrieval, Web service selection and cooperative information systems In these variable contexts, the brokering approach to multisource data access provides greater flexibility with respect to the more traditional data integration The general brokering model assumes that the broker is submitted a query and has the responsibility to optimize the response along specified parameters such as time efficiency, completeness, and consistency This paper takes a data quality perspective on data brokering and considers data accuracy Furthermore, the data quality literature assumes that metadata are associated with data to describe their quality Metadata support data selection without viewing and assessing data directly On the contrary, previous brokering approaches view data This paper compares previous results with those of a brokering approach based on metadata which assumes that actual data are transparent to the broker Testing results comparing the delta between the data visibility and transparency approaches to data brokering are presented.