Multilingual enrichment of disease biomedical ontologies

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.

[1]  Zhiyong Lu,et al.  A survey of current trends in computational drug repositioning , 2016, Briefings Bioinform..

[2]  Jens Lehmann,et al.  DBpedia - A large-scale, multilingual knowledge base extracted from Wikipedia , 2015, Semantic Web.

[3]  C. Langlotz.  RadLex: a new method for indexing online educational materials. , 2006, Radiographics : a review publication of the Radiological Society of North America, Inc.

[4]  Sanda M. Harabagiu,et al.  Deep Learning Meets Biomedical Ontologies: Knowledge Embeddings for Epilepsy , 2017, AMIA.

[5]  Hao Wang,et al.  Ontology-based deep learning for human behavior prediction with explanations in health social networks , 2017, Inf. Sci..

[6]  Matthew A. Jaro,et al.  Advances in Record-Linkage Methodology as Applied to Matching the 1985 Census of Tampa, Florida , 1989 .

[7]  Anna Lisa Gentile,et al.  Multi-lingual Concept Extraction with Linked Data and Human-in-the-Loop , 2017, K-CAP.

[8]  Salim Roukos,et al.  Bleu: a Method for Automatic Evaluation of Machine Translation , 2002, ACL.

[9]  Christopher G. Chute,et al.  A Semantic Web-Based Approach for Harvesting Multilingual Textual Definitions from Wikipedia to Support ICD-11 Revision , 2013, VDOS+DO@ICBO.

[10]  K. Bretonnel Cohen,et al.  Ontology Translation: A Case Study on Translating the Gene Ontology from English to German , 2014, NLDB.

[11]  Vassilis Virvilis,et al.  Literature mining, ontologies and information visualization for drug repurposing , 2011, Briefings Bioinform..

[12]  Michelle Giglio,et al.  Human Disease Ontology 2018 update: classification, content and workflow expansion , 2018, Nucleic Acids Res..

[13]  Hamada A. Nayel,et al.  Integrating Dictionary Feature into A Deep Learning Model for Disease Named Entity Recognition , 2019, ArXiv.

[14]  Sonja Zillner,et al.  Corpus-based Translation of Ontologies for Improved Multilingual Semantic Annotation , 2014, SWAIE@COLING.

[15]  Markus Krötzsch,et al.  Wikidata , 2014, Commun. ACM.

[16]  Mário J. Silva,et al.  An ontology-based approach for SNOMED CT translation , 2015, ICBO.