Abstract
In this paper we present a novel uncertainty-enabled approach to data integration. Uncertainty is a natural by-product of many automatic data integration processes. In our approach we keep it up to the integrated database, and use it to improve query answering. Our method is based on the concept of preference: we show how preferences can be interpreted and manipulated to produce a global uncertain data source, and discuss the complexity of ranking query results on the integrated database.
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Magnani, M., Montesi, D. (2008). Preference-Based Uncertain Data Integration. In: Gangemi, A., Euzenat, J. (eds) Knowledge Engineering: Practice and Patterns. EKAW 2008. Lecture Notes in Computer Science(), vol 5268. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87696-0_14
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DOI: https://doi.org/10.1007/978-3-540-87696-0_14
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