ArticleBMC bioinformatics2009
Reuse of terminological resources for efficient ontological engineering in Life Sciences.
Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus.Proceedings of the ... International World-Wide Web Conference. International WWW Conference · 2022Article
- Biomedical Vocabulary Alignment at Scale in the UMLS Metathesaurus.Proceedings of the ... International World-Wide Web Conference. International WWW Conference · 2021Article
- Ontological and Non-Ontological Resources for Associating Medical Dictionary for Regulatory Activities Terms to SNOMED Clinical Terms With Semantic Properties.Frontiers in pharmacology · 2019Article
- A generalizable NLP framework for fast development of pattern-based biomedical relation extraction systems.BMC bioinformatics · 2014Article
- BioUSeR: a semantic-based tool for retrieving Life Science web resources driven by text-rich user requirements.Journal of biomedical semantics · 2013Article
- Logic-based assessment of the compatibility of UMLS ontology sources.Journal of biomedical semantics · 2011Article
Corrections and comments
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Authors and funding
4 authors.
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Abstract
This paper is intended to explore how to use terminological resources for ontology engineering. Nowadays there are several biomedical ontologies describing overlapping domains, but there is not a clear correspondence between the concepts that are supposed to be equivalent or just similar. These resources are quite precious but their integration and further development are expensive. Terminologies may support the ontological development in several stages of the lifecycle of the ontology; e.g. ontology integration. In this paper we investigate the use of terminological resources during the ontology lifecycle. We claim that the proper creation and use of a shared thesaurus is a cornerstone for the successful application of the Semantic Web technology within life sciences. Moreover, we have applied our approach to a real scenario, the Health-e-Child (HeC) project, and we have evaluated the impact of filtering and re-organizing several resources. As a result, we have created a reference thesaurus for this project, named HeCTh.
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