A complex alignment benchmark: GeoLink dataset

Lu Zhou, Michelle Cheatham, Adila Krisnadhi, Pascal Hitzler

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Citations (Scopus)


Ontology alignment has been studied for over a decade, and over that time many alignment systems and methods have been developed by researchers in order to find simple 1-to-1 equivalence matches between two ontologies. However, very few alignment systems focus on finding complex correspondences. One reason for this limitation may be that there are no widely accepted alignment benchmarks that contain such complex relationships. In this paper, we propose a real-world dataset from the GeoLink project as a potential complex alignment benchmark. The dataset consists of two ontologies, the GeoLink Base Ontology (GBO) and the GeoLink Modular Ontology (GMO), as well as a manually created reference alignment, that was developed in consultation with domain experts from different institutions. The alignment includes 1:1, 1:n, and m:n equivalence and subsumption correspondences, and is available in both Expressive and Declarative Ontology Alignment Language (EDOAL) and rule syntax.

Original languageEnglish
Title of host publicationThe Semantic Web – ISWC 2018 - 17th International Semantic Web Conference, 2018, Proceedings
EditorsKalina Bontcheva, Denny Vrandecic, Mari Carmen Suárez-Figueroa, Marta Sabou, Lucie-Aimee Kaffee, Elena Simperl, Valentina Presutti, Irene Celino
PublisherSpringer Verlag
Number of pages16
ISBN (Print)9783030006679
Publication statusPublished - 2018
Event17th International Semantic Web Conference, ISWC 2018 - Monterey, United States
Duration: 8 Oct 201812 Oct 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11137 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference17th International Semantic Web Conference, ISWC 2018
Country/TerritoryUnited States


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