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Article . 2005
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Evaluating ontology alignment methods

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2005Embargo end date: 23 Mar 2005 Germany, France English Publisher:Schloss Dagstuhl – Leibniz-Zentrum für Informatik
Authors: Euzenat, Jérôme;

doi: 10.4230/dagsemproc.04391.5

Evaluating ontology alignment methods

Abstract

Many different methods have been designed for aligning ontologies. These methods use such different techniques that they can hardly be compared theoretically. Hence, it is necessary to compare them on common tests. We present two initiatives that led to the definition and the performance of the evaluation of ontology alignments during 2004. We draw lessons from these two experiments and discuss future improvements.

Countries
Germany, France
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Keywords

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], evaluation, ontology alignment, 004, ddc: ddc:004

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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INRIA
University Network for Innovation, Technology and Engineering