Encyclopedia of Big Data Technologies

Living Edition
| Editors: Sherif Sakr, Albert Zomaya

Uncertain Schema Matching

Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-63962-8_24-1

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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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Faculty of Industrial Engineering & ManagementTechnion – Israel Institute of TechnologyHaifaIsrael

Section editors and affiliations

  • Maik Thiele
    • 1
  1. 1.Database Systems GroupTechnische Universität DresdenDresdenDeutschland