Skip Navigation



Journal of Logic and Computation Advance Access published online on August 14, 2008

Journal of Logic and Computation, doi:10.1093/logcom/exn047
This Article
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
19/5/807    most recent
exn047v1
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Meilicke, C.
Right arrow Articles by Tamilin, A.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author, 2008. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Original Papers

Reasoning Support for Mapping Revision

Christian Meilicke and Heiner Stuckenschmidt

Knowledge Representation and Knowledge Management Group, Computer Science Institute, University of Mannheim, A5, 6 68159 Mannheim, Germany. E-mail: christian{at}informatik.uni-mannheim.de, heiner{at}informatik.uni-mannheim.de

Andrei Tamilin

Data and Knowledge Management Unit, Center for Information Technology, Fondazione Bruno Kessler, Via Sommarive 18, 38100 Povo di Trento, Italy.E-mail: tamilin{at}fbk.eu

Received 8 November 2007.


   Abstract

Finding correct semantic correspondences between heterogeneous ontologies is one of the most challenging problems in the area of semantic web technologies. As manually constructing such mappings is not feasible in realistic scenarios, a number of automatic matching tools have been developed that propose mappings based on general heuristics. As these heuristics often produce incorrect results, a manual revision is inevitable in order to guarantee the quality of generated mappings. Experiences with benchmarking matching systems revealed that the manual revision of mappings is still a very difficult problem because it has to take the semantics of the ontologies as well as interactions between mappings into account. In this article, we propose methods for supporting human experts in the task of revising automatically created mappings. In particular, we present non-standard reasoning methods for detecting and propagating implications of expert decisions on the correctness of a mapping.

Keywords: Ontologies; ontology mappings; mapping revision; distributed description logics


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.