Informatica logo


Login Register

  1. Home
  2. Issues
  3. Volume 21, Issue 4 (2010)
  4. From XML to Relational Models

Informatica

Information Submit your article For Referees Help ATTENTION!
  • Article info
  • Related articles
  • Cited by
  • More
    Article info Related articles Cited by

From XML to Relational Models
Volume 21, Issue 4 (2010), pp. 505–519
Elena Castro   Dolores Cuadra   Manuel Velasco  

Authors

 
Placeholder
https://doi.org/10.15388/Informatica.2010.302
Pub. online: 1 January 2010      Type: Research Article     

Received
1 July 2008
Accepted
1 July 2010
Published
1 January 2010

Abstract

For many businesses and organizations, the achievement of interoperability has proven to be a highly desirable goal. However, without efficient schema mapping mechanisms or models that allow for the storage and management of information from several distinct systems, the goal of interoperability is impossible to attain. Due to the role of XML as a standard in information exchange, considerable research has been undertaken to find effective methods or algorithms for the conversion from XML to database models. This paper reviews leading research in the field – focusing particularly on three novel approaches taken – and proposes an original schema mapping mechanism using a conceptual model which, due its higher level of abstraction, maximizes the preservation of semantics.

Related articles Cited by PDF XML
Related articles Cited by PDF XML

Copyright
No copyright data available.

Keywords
inlining mapping data model semantics data model schema metaschema

Metrics
since January 2020
676

Article info
views

0

Full article
views

516

PDF
downloads

169

XML
downloads

Export citation

Copy and paste formatted citation
Placeholder

Download citation in file


Share


RSS

INFORMATICA

  • Online ISSN: 1822-8844
  • Print ISSN: 0868-4952
  • Copyright © 2023 Vilnius University

About

  • About journal

For contributors

  • OA Policy
  • Submit your article
  • Instructions for Referees
    •  

    •  

Contact us

  • Institute of Data Science and Digital Technologies
  • Vilnius University

    Akademijos St. 4

    08412 Vilnius, Lithuania

    Phone: (+370 5) 2109 338

    E-mail: informatica@mii.vu.lt

    https://informatica.vu.lt/journal/INFORMATICA
Powered by PubliMill  •  Privacy policy