MultiFarm: A benchmark for multilingual ontology matching

Christian Meilicke; Raúl García-Castro; Fred Freitas; Willem Robert Van Hage; Elena Montiel-Ponsoda; Ryan Ribeiro De Azevedo; Heiner Stuckenschmidt; Ondřej Šváb-Zamazal; Vojtěch Svátek; Andrei Tamilin; Cássia Trojahn; Shenghui Wang

doi:10.1016/j.websem.2012.04.001

MultiFarm: A benchmark for multilingual ontology matching

Christian Meilicke^*, Raúl García-Castro, Fred Freitas, Willem Robert Van Hage, Elena Montiel-Ponsoda, Ryan Ribeiro De Azevedo, Heiner Stuckenschmidt, Ondřej Šváb-Zamazal, Vojtěch Svátek, Andrei Tamilin, Cássia Trojahn, Shenghui Wang

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

67 Citations (Scopus)

Abstract

In this paper we present the MultiFarm dataset, which has been designed as a benchmark for multilingual ontology matching. The MultiFarm dataset is composed of a set of ontologies translated in different languages and the corresponding alignments between these ontologies. It is based on the OntoFarm dataset, which has been used successfully for several years in the Ontology Alignment Evaluation Initiative (OAEI). By translating the ontologies of the OntoFarm dataset into eight different languages - Chinese, Czech, Dutch, French, German, Portuguese, Russian, and Spanish - we created a comprehensive set of realistic test cases. Based on these test cases, it is possible to evaluate and compare the performance of matching approaches with a special focus on multilingualism.

Original language	English
Pages (from-to)	62-68
Number of pages	7
Journal	Journal of Web Semantics
Volume	15
DOIs	https://doi.org/10.1016/j.websem.2012.04.001
Publication status	Published - 1 Jan 2012
Externally published	Yes

Keywords

Benchmarking
Data integration
Multilingualism
Ontology matching

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10.1016/j.websem.2012.04.001

Cite this

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title = "MultiFarm: A benchmark for multilingual ontology matching",

abstract = "In this paper we present the MultiFarm dataset, which has been designed as a benchmark for multilingual ontology matching. The MultiFarm dataset is composed of a set of ontologies translated in different languages and the corresponding alignments between these ontologies. It is based on the OntoFarm dataset, which has been used successfully for several years in the Ontology Alignment Evaluation Initiative (OAEI). By translating the ontologies of the OntoFarm dataset into eight different languages - Chinese, Czech, Dutch, French, German, Portuguese, Russian, and Spanish - we created a comprehensive set of realistic test cases. Based on these test cases, it is possible to evaluate and compare the performance of matching approaches with a special focus on multilingualism.",

keywords = "Benchmarking, Data integration, Multilingualism, Ontology matching",

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year = "2012",

month = jan,

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doi = "10.1016/j.websem.2012.04.001",

language = "English",

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journal = "Journal of Web Semantics",

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T2 - A benchmark for multilingual ontology matching

AU - Meilicke, Christian

AU - García-Castro, Raúl

AU - Freitas, Fred

AU - Van Hage, Willem Robert

AU - Montiel-Ponsoda, Elena

AU - De Azevedo, Ryan Ribeiro

AU - Stuckenschmidt, Heiner

AU - Šváb-Zamazal, Ondřej

AU - Svátek, Vojtěch

AU - Tamilin, Andrei

AU - Trojahn, Cássia

AU - Wang, Shenghui

PY - 2012/1/1

Y1 - 2012/1/1

N2 - In this paper we present the MultiFarm dataset, which has been designed as a benchmark for multilingual ontology matching. The MultiFarm dataset is composed of a set of ontologies translated in different languages and the corresponding alignments between these ontologies. It is based on the OntoFarm dataset, which has been used successfully for several years in the Ontology Alignment Evaluation Initiative (OAEI). By translating the ontologies of the OntoFarm dataset into eight different languages - Chinese, Czech, Dutch, French, German, Portuguese, Russian, and Spanish - we created a comprehensive set of realistic test cases. Based on these test cases, it is possible to evaluate and compare the performance of matching approaches with a special focus on multilingualism.

AB - In this paper we present the MultiFarm dataset, which has been designed as a benchmark for multilingual ontology matching. The MultiFarm dataset is composed of a set of ontologies translated in different languages and the corresponding alignments between these ontologies. It is based on the OntoFarm dataset, which has been used successfully for several years in the Ontology Alignment Evaluation Initiative (OAEI). By translating the ontologies of the OntoFarm dataset into eight different languages - Chinese, Czech, Dutch, French, German, Portuguese, Russian, and Spanish - we created a comprehensive set of realistic test cases. Based on these test cases, it is possible to evaluate and compare the performance of matching approaches with a special focus on multilingualism.

KW - Benchmarking

KW - Data integration

KW - Multilingualism

KW - Ontology matching

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DO - 10.1016/j.websem.2012.04.001

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SN - 1570-8268

VL - 15

SP - 62

EP - 68

JO - Journal of Web Semantics

JF - Journal of Web Semantics

ER -

MultiFarm: A benchmark for multilingual ontology matching

Abstract

Keywords

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