Clip: A visual language for explicit schema mappings

Alessandro Raffio, Daniele Braga, Stefano Ceri, Paolo Papotti, Mauricio A. Hernández

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Scopus citations

Abstract

Many data integration solutions in the market today include tools for schema mapping, to help users visually relate elements of different schemas. Schema elements are connected with lines, which are interpreted as mappings, i.e. high-level logical expressions capturing the relationship between source and target data-sets; these are compiled into queries and programs that convert source-side data instances into target-side instances. This paper describes Clip, an XML Schema mapping tool distinguished from existing tools in that mappings explicitly specify structural transformations in addition to value couplings. Since Clip maps hierarchical XML schemas, lines appear naturally nested. We describe the transformation semantics associated with our "lines" and how they combine to form mappings that are more expressive than those generated by Clio, a well-known mapping tool. Further, we extend Clio's mapping generation algorithms to generate Clip's mappings.

Original languageEnglish (US)
Title of host publicationProceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Pages30-39
Number of pages10
DOIs
StatePublished - Oct 1 2008
Event2008 IEEE 24th International Conference on Data Engineering, ICDE'08 - Cancun, Mexico
Duration: Apr 7 2008Apr 12 2008

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other2008 IEEE 24th International Conference on Data Engineering, ICDE'08
CountryMexico
CityCancun
Period4/7/084/12/08

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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    Raffio, A., Braga, D., Ceri, S., Papotti, P., & Hernández, M. A. (2008). Clip: A visual language for explicit schema mappings. In Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08 (pp. 30-39). [4497411] (Proceedings - International Conference on Data Engineering). https://doi.org/10.1109/ICDE.2008.4497411