A consensual dataset for complex ontology matching evaluation. (2020)

• Record Type: Journal Article
• Authors: Thiéblin, Elodie; Cheatham, Michelle; Trojahn, Cassia; Zamazal, Ondrej
• Is Part Of: Knowledge engineering review. Volume 35(2020)
• Publication Date: 2020
• Subjects: Expert systems (Computer science) -- Periodicals; 006.33
• DOI: 10.1017/S0269888920000247
• Languages: English
• ISSNs: 0269-8889

Abstract

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.