Abstract
Matching systems may produce effective alignments that may not be intuitively obvious to human users. In order for users to trust the alignments, and thus use them, they need information about them, e.g., they need access to the sources that were used to determine semantic correspondences between ontology entities. Explanations are also useful when matching large applications with thousands of entities, e.g., business product classifications, such as UNSPSC and eCl@ss. In such cases, automatic matching solutions will find many plausible correspondences, and hence user input is required for performing cleaning-up of the alignment. Finally, explanations can also be viewed and applied as argumentation schemas for negotiating alignments between agents.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
Keywords
- Dependency Graph
- Conjunctive Normal Form
- Argumentation Schema
- Propositional Formula
- Argumentation Framework
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
(2007). Explaining alignments. In: Ontology Matching. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49612-0_10
Download citation
DOI: https://doi.org/10.1007/978-3-540-49612-0_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49611-3
Online ISBN: 978-3-540-49612-0
eBook Packages: Computer ScienceComputer Science (R0)