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.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11914853_71.
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Ardagna, D., Cappiello, C., Francalanci, C., Groppi, A. (2006). Brokering Multisource Data with Quality Constraints. In: Meersman, R., Tari, Z. (eds) On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and ODBASE. OTM 2006. Lecture Notes in Computer Science, vol 4275. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11914853_49
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DOI: https://doi.org/10.1007/11914853_49
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