Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A User-Guided Approach for Large-Scale Multi-Schema Integration
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2012 (English)In: The Practice of Enterprise Modeling: Proceedings / [ed] Kurt Sandkuhl, Ulf Seigerroth, Janis Stirna, Berlin/Heidelberg: Springer Berlin/Heidelberg, 2012, 203-217 p.Conference paper, Published paper (Refereed)
Abstract [en]

Schema matching plays an important role in various fields of enterprise system modeling and integration, such as in databases, business intelligence, knowledge management, interoperability, and others. The matching problem relates to finding the semantic correspondences between two or more schemas. The focus of the most of the research done in schema and ontology matching is pairwise matching, where 2 schemas are compared at the time. While few semi-automatic approaches have been recently proposed in pairwise matching to involve user, current multi-schema approaches mainly rely on the use of statistical information in order to avoid user interaction, which is largely limited to parameter tuning. In this study, we propose a user-guided iterative approach for large-scale multi-schema integration. Given n schemas, the goal is to match schema elements iteratively and demonstrate that the learning approach results in improved accuracy during iterations. The research is conducted in SAP Research Karlsruhe, followed by an evaluation using large e-business schemas. The evaluation results demonstrated an improvement in accuracy of matching proposals based on user’s involvement, as well as an easier accomplishment of a unified data model.

Place, publisher, year, edition, pages
Berlin/Heidelberg: Springer Berlin/Heidelberg, 2012. 203-217 p.
Series
Lecture Notes in Business Information Processing, ISSN 1865-1348 ; 134
Keyword [en]
Schema Integration, Business Intelligence, System Interoperability
Keyword [sv]
Schemaintegration, syteminteroperabilitet
National Category
Information Systems
Research subject
Computer and Systems Sciences
Identifiers
URN: urn:nbn:se:su:diva-84853DOI: 10.1007/978-3-642-34549-4_15ISBN: 978-3-642-34548-7 (print)ISBN: 978-3-642-34549-4 (print)OAI: oai:DiVA.org:su-84853DiVA: diva2:581611
Conference
5th IFIP WG 8.1 Working Conference, PoEM 2012, Rostock, Germany, November 7-8, 2012
Available from: 2013-01-02 Created: 2013-01-02 Last updated: 2013-05-17Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Zdravkovic, Jelena
By organisation
Department of Computer and Systems Sciences
Information Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 31 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf