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arXiv 2004.03181q-bio.QMcs.CLcs.IR

Multilingual enrichment of disease biomedical ontologies

EURA NOVA(欧朗诺瓦机构);Aix Marseille Univ(艾克斯-马赛大学);CNRS(法国国家科学研究中心);LIS(信息科学与系统实验室)

Léo Bouscarrat, Antoine Bonnefoy, Cécile Capponi, Carlos Ramisch

英文摘要:

Translating biomedical ontologies is an important challenge, but doing it manually requires much time and money. We study the possibility to use open-source knowledge bases to translate biomedical ontologies. We focus on two aspects: coverage and quality. We look at the coverage of two biomedical ontologies focusing on diseases with respect to Wikidata for 9 European languages (Czech, Dutch, English, French, German, Italian, Polish, Portuguese and Spanish) for both ontologies, plus Arabic, Chinese and Russian for the second one. We first use direct links between Wikidata and the studied ontologies and then use second-order links by going through other intermediate ontologies. We then compare the quality of the translations obtained thanks to Wikidata with a commercial machine translation tool, here Google Cloud Translation.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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