Results of the ontology alignment evaluation initiative 2017

Manel Achichi, Michelle Cheatham, Zlatan Dragisic, Jérǒme Euzenat, Daniel Faria, Alfio Ferrara, Giorgos Flouris, Irini Fundulaki, Ian Harrow, Valentina Ivanova, Ernesto Jiménez-Ruiz, Kristian Kolthoff, Elena Kuss, Patrick Lambrix, Henrik Leopold, Huanyu Li, Christian Meilicke, Majeed Mohammadi, Stefano Montanelli, Catia PesquitaTzanina Saveta, Pavel Shvaiko, Andrea Splendiani, Heiner Stuckenschmidt, Elodie Thiéblin, Konstantin Todorov, Cássia Trojahn, Ondřej Zamazal

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

30 Citations (Scopus)
165 Downloads (Pure)

Abstract

Ontology matching consists of finding correspondences between semantically related entities of different ontologies. The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity (from simple thesauri to expressive OWL ontologies) and use different evaluation modalities (e.g., blind evaluation, open evaluation, or consensus). The OAEI 2017 campaign offered 9 tracks with 23 test cases, and was attended by 21 participants. This paper is an overall presentation of that campaign.

Original languageEnglish
Title of host publicationproceedings of 12th International Workshop on Ontology Matching, OM 2017
Pages61-113
Number of pages53
Volume2032
Publication statusPublished - 2017
EventThe Twelfth International Workshop on Ontology Matching: collocated with the 16th International Semantic Web Conference ISWC-2017 - Vienna, Austria
Duration: 21 Oct 2017 → …

Conference

ConferenceThe Twelfth International Workshop on Ontology Matching
Abbreviated titleOM-2017
Country/TerritoryAustria
CityVienna
Period21/10/17 → …

Fingerprint

Dive into the research topics of 'Results of the ontology alignment evaluation initiative 2017'. Together they form a unique fingerprint.

Cite this