Graduate School and Research Center in Digital Sciences

Schema mapping

Papotti, Paolo

Book chapter in Encyclopedia of Big Data Technologies, Springer, 2018, Editors: Sherif Sakr, Albert Zomaya

Several data management tasks require to precisely establish associations between data structured under different schemas. Schema mappings allow the definition of semantic connections between schemas with structural differences. A schema mapping M is a specification of a relation between instances of a source schema S and instances of a target schema T. Given a source instance I for S and a target instance J for T, they satisfy the mapping if (I, J)⊧M. Schema mappings are used both for virtual and materialized integration, and they have been studied in many aspects, including their specification, semantics, and user-assisted generation.

Doi Bibtex

Title:Schema mapping
Type:Book
Language:English
City:
Date:
Department:Data Science
Eurecom ref:6066
Copyright: © Springer. Personal use of this material is permitted. The definitive version of this paper was published in Book chapter in Encyclopedia of Big Data Technologies, Springer, 2018, Editors: Sherif Sakr, Albert Zomaya and is available at : https://doi.org/10.1007/978-3-319-63962-8_20-1
Bibtex: @book{EURECOM+6066, doi = {https://doi.org/10.1007/978-3-319-63962-8_20-1}, year = {2018}, title = {{S}chema mapping}, author = {{P}apotti, {P}aolo}, publisher = {{B}ook chapter in {E}ncyclopedia of {B}ig {D}ata {T}echnologies, {S}pringer, 2018, {E}ditors: {S}herif {S}akr, {A}lbert {Z}omaya}, month = {02}, url = {http://www.eurecom.fr/publication/6066} }
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