Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Information Integration Techniques for Scientific Data

  • Amarnath GuptaEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_1303


Information integration refers to the field of study of techniques attempting to combine information from disparate sources despite differing conceptual, contextual and lexical representations. One goal of information integration, commonly held by the data management community, is to combine the information in such a way that the user gets a unified view of the data. In other words, the user should see and query the data as though it is present in a common, unified schema.

In the domain of scientific applications, the problems and expectations are different. In this domain the semantics of data play a very strong role in data integration, and semantic compatibility need to be ensured as part of the data integration process. Further, straightforward view-based data integration, which works well for commercial applications, does not always suit the needs of the scientific users. Finally, scientists need to ensure that the result of any query on integrated data is...

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.San Diego Supercomputer CenterUniversity of California San DiegoLa JollaUSA

Section editors and affiliations

  • Amarnath Gupta
    • 1
  1. 1.San Diego Supercomputer CenterUniv. of California San DiegoLa JollaUSA