Multilingual Mapping Reconciliation between English-French Biomedical Ontologies

Annane, Amina; Emonet, Vincent; Azouaou, Faiçal; Jonquet, Clément

doi:10.1145/2912845.2912847

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…Aforementioned SKOS can also be used for mappings, using skos:mappingRelation [53] and its sub-properties, to map identifiers in a pair-wise fashion between concepts in thesauri and terminologies of the same subject domain. However, such mappings can only be done between [57] used SKOS and the General Ontology for Linguistic Description (GOLD) [58] to generate 228 000 mappings between English ontologies on BioPortal and its French equivalent. Kuai et al [59] took two monolingual ontologies in different natural languages, automatically translated the labels of one of the ontologies to the natural language of the other ontology, and then identified mapping relationships between concept pairs.…”

Section: Mappings In the Ontologymentioning

confidence: 99%

A Review of Multilingualism in and for Ontologies

Gillis-Webber¹,

Keet²

2022

Preprint

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The Multilingual Semantic Web has been in focus for over a decade. Multilingualism in Linked Data and RDF has shown substantial adoption, but this is unclear for ontologies since the last review 15 years ago. One of the design goals for OWL was internationalisation, with the aim that an ontology is usable across languages and cultures. Much research to improve on multilingual ontologies has taken place in the meantime, and presumably multilingual linked data could use multilingual ontologies. Therefore, this review seeks to (i) elucidate and compare the modelling options for multilingual ontologies, (ii) examine extant ontologies for their multilingualism, and (iii) evaluate ontology editors for their ability to manage a multilingual ontology.Nine different principal approaches for modelling multilinguality in ontologies were identified, which fall into either of the following approaches: using multilingual labels, linguistic models, or a mapping-based approach. They are compared on design by means of an ad hoc visualisation mode of modelling multilingual information for ontologies, shortcomings, and what issues they aim to solve. For the ontologies, we extracted production-level and accessible ontologies from BioPortal and the LOV repositories, which had, at best, 6.77% and 15.74% multilingual ontologies, respectively, where most of them have only partial translations and they all use a labels-based approach only. Based on a set of nine tool requirements for managing multilingual ontologies, the assessment of seven relevant ontology editors showed that there are significant gaps in tooling support, with VocBench 3 nearest of meeting them all. This stock-taking may function as a new baseline and motivate new research directions for multilingual ontologies.

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Section: Mappings In the Ontologymentioning

confidence: 99%

A Review of Multilingualism in and for Ontologies

Gillis-Webber¹,

Keet²

2022

Preprint

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Selection and Combination of Heterogeneous Mappings to Enhance Biomedical Ontology Matching

Annane

Bellahsène

Azouaou

et al. 2016

Lecture Notes in Computer Science

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Abstract. This paper presents a novel background knowledge approach which selects and combines existing mappings from a given biomedical ontology repository to improve ontology alignment. Current background knowledge approaches usually select either manually or automatically a limited number of different ontologies and use them as a whole for background knowledge. Whereas in our approach, we propose to pick up only relevant concepts and relevant existing mappings linking these concepts all together in a specific and customized background knowledge graph. Paths within this graph will help to discover new mappings. We have implemented and evaluated our approach using the content of the NCBO BioPortal repository and the Anatomy benchmark from the Ontology Alignment Evaluation Initiative. We used the mapping gain measure to assess how much our final background knowledge graph improves results of state-of-the-art alignment systems. Furthermore, the evaluation shows that our approach produces a high quality alignment and discovers mappings that have not been found by state-of-the-art systems.

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Semantic Search to Foster Scientific Findability: A Systematic Literature Review

Gottardi

Medeiros

Reis

2021

jidm

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One of the main goals of the Open Science movement is to leverage scientific collaboration through, among others, promoting the sharing and reuse of research outputs, such as publications, data and software. Sharing is enabled by public and accessible scientific repositories where these outputs are managed throughout their lifecycle. In this context, finding these digital artifacts has become a key problem. Semantic search mechanisms have risen as a means to solve this issue. However, implementing and integrating them into scientific repositories presents many challenges. This article presents a systematic literature review of research efforts on mechanisms for supporting search for scientific papers, data and processes. Our investigation is based on extracting and analyzing the entire contents of nine digital libraries using the associated search engines – in alphabetical order: ACM Digital Library, arXiV, Engineering Village, IEEE Xplore, SBC OpenLib, Springer Link, Scopus, Wiley Online Library and Web of Science. After retrieving a combined amount of 5012 documents, we identified 2054 unique papers that were used as a basis for our analysis. Our findings provide, among others, a new categorization of literature on search and discuss unexplored gaps, thereby contributing to advancing research on semantic search mechanisms to support Open Science.

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Multilingual Mapping Reconciliation between English-French Biomedical Ontologies

Cited by 3 publications

References 26 publications

A Review of Multilingualism in and for Ontologies

A Review of Multilingualism in and for Ontologies

Selection and Combination of Heterogeneous Mappings to Enhance Biomedical Ontology Matching

Semantic Search to Foster Scientific Findability: A Systematic Literature Review

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