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A consensual dataset for complex ontology matching evaluation

Part of: Ontology Alignment: Algorithms and Evaluation

Published online by Cambridge University Press:  07 July 2020

Elodie Thiéblin ,
Michelle Cheatham ,
Cassia Trojahn Open the ORCID record for Cassia Trojahn [Opens in a new window]  and
Ondrej Zamazal
Elodie Thiéblin
Affiliation:
IRIT & Université de Toulouse 2 Jean Jaurès, Toulouse, France, e-mail: [email protected], [email protected]
Michelle Cheatham
Affiliation:
Wright State University, Dayton, USA, e-mail: [email protected]
Cassia Trojahn
Affiliation:
IRIT & Université de Toulouse 2 Jean Jaurès, Toulouse, France, e-mail: [email protected], [email protected]
Ondrej Zamazal
Affiliation:
University of Economics, Prague, Czech Republic, e-mail: [email protected]
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Abstract

Simple ontology alignments, largely studied in the literature, link one single entity of a source ontology to one single entity of a target ontology. One of the limitations of these alignments is, however, their lack of expressiveness, which can be overcome by complex alignments, which are composed of correspondences involving logical constructors or transformation functions. While most work on complex ontology matching has been dedicated to the development of complex matching approaches, there is still a lack of benchmarks on which the complex approaches can be systematically evaluated. The aim of this paper is to present the process of constructing the consensual complex Conference dataset, describing the design choices and the methodology followed for constructing it. We discuss the issues the experts were faced with during the process and discuss the lessons learned and perspectives in the field.

Type
Research Article
Information
The Knowledge Engineering Review , Volume 35 , 2020 , e34
Copyright
© Cambridge University Press, 2020

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