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Boosting MultiFarm track with Turkish dataset

Khiat, A., Yaman, B., Guerrini, G. , Jimenez-Ruiz, E. ORCID: 0000-0002-9083-4599 & Karam, N (2017). Boosting MultiFarm track with Turkish dataset. CEUR Workshop Proceedings, 2032, pp. 215-216.


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.

Publication Type: Article
Subjects: P Language and Literature
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: School of Science & Technology > Computer Science
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