Results of the ontology alignment evaluation initiative 2017?
M. Achichi; M. Cheatham; Z. Dragisic; J. Euzenat; D. Faria; A. Ferrara; G. Flouris; I. Fundulaki; I. Harrow; V. Ivanova; E. Jimenez-Ruiz; K. Kolthoff; E. Kuss; P. Lambrix; H. Leopold; H. Li; C. Meilicke; M. Mohammadi; S. Montanelli C. Pesquita; T. Saveta; P. Shvaiko; A. Splendiani; H. Stuckenschmidt; E. Thieblin; K. Todorov; C. Trojahn; O. Zamazal;
Results of the ontology alignment evaluation initiative 2017?
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.
Italy
- University of Milan Italy
Computer Science (all)
Computer Science (all)
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selected citations
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These citations are derived from selected sources.
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).
Citations provided by BIP!popularityPopularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
Popularity provided by BIP! 0
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