Boosting MultiFarm track with Turkish dataset
Karam, Naouel; Khiat, Abderrahmane; Yaman, Beyza; Guerrini, Giovanna; Jiménez-Ruiz, Ernesto – 2017
The evolution of semantic structured data, such as those behind the deep web or socialnetworks, requires mapping between sources to enable a high level integration. Sev-eral ontology matching systems have been developed to establish mappings betweenmultilingual ontologies, however, employing these systems in real world requires anassessment of the ontologies capability and performance which is conducted by theMultiFarm Track. Yet, this track still lacks of ontologies from different language fami-lies. In this paper, we contribute to the OAEI initiative with a Turkish dataset to extendthe coverage of languages for the matching systems.
Title
Boosting MultiFarm track with Turkish dataset
Author
Karam, Naouel; Khiat, Abderrahmane; Yaman, Beyza; Guerrini, Giovanna; Jiménez-Ruiz, Ernesto
Publisher
CEUR-WS.org
Location
Wien
Date
2017
Source(s)
Appeared in
Proceedings of the 12th International Workshop on Ontology matching co-located with the 16th International Semantic Web Conference (ISWC 2017),
Type
Text
BibTeX Code
@inproceedings{2017_khiat_boosting,
title={Boosting MultiFarm track with Turkish dataset},
author={Khiat, Abderrahmane and Yaman, Beyza and Guerrini, Giovanna and Jim{\'e}nez-Ruiz, Ernesto and Karam, Naouel},
booktitle={CEUR Workshop Proceedings},
volume={2032},
pages={215--216},
year={2017}
}
title={Boosting MultiFarm track with Turkish dataset},
author={Khiat, Abderrahmane and Yaman, Beyza and Guerrini, Giovanna and Jim{\'e}nez-Ruiz, Ernesto and Karam, Naouel},
booktitle={CEUR Workshop Proceedings},
volume={2032},
pages={215--216},
year={2017}
}