Abstract
Data integration has been the focus of research for many years now. At the heart of the data integration process is a schema matching problem whose outcome is a collection of correspondences between different representations of the same real-world construct. In recent years, data integration has been facing new challenges as a result of the presence of big data. These challenges require the development of a set of methods to support a matching process using uncertainty management tools to quantify the inherent uncertainty in the process. This chapter is devoted to the introduction of uncertain schema matching. It also discusses existing and future research, as well as possible applications.
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Gal, A. (2018). Uncertain Schema Matching. In: Sakr, S., Zomaya, A. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-63962-8_24-1
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DOI: https://doi.org/10.1007/978-3-319-63962-8_24-1
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Latest
Uncertain Schema Matching- Published:
- 15 June 2022
DOI: https://doi.org/10.1007/978-3-319-63962-8_24-2
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Original
Uncertain Schema Matching- Published:
- 07 March 2018
DOI: https://doi.org/10.1007/978-3-319-63962-8_24-1