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Conference Papers Year : 2017

Text-mining and ontologies: new approaches to knowledge discovery of microbial diversity

Abstract

Microbiology research has access to a very large amount of public information on the habitats of microorganisms. Many areas of microbiology research uses this information, primarily in biodiversity studies. However the habitat information is expressed in unstructured natural language form, which hinders its exploitation at large-scale. It is very common for similar habitats to be described by different terms, which makes them hard to compare automatically, e.g. intestine and gut. The use of a common reference to standardize these habitat descriptions as claimed by (Ivana et al., 2010) is a necessity. We propose the ontology called OntoBiotope that we have been developing since 2010. The OntoBiotope ontology is in a formal machinereadable representation that enables indexing of information as well as conceptualization and reasoning.
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hal-02736151 , version 1 (02-06-2020)

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  • HAL Id : hal-02736151 , version 1
  • PRODINRA : 414573

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Claire Nédellec, Robert Bossy, Estelle Chaix, Louise Deleger. Text-mining and ontologies: new approaches to knowledge discovery of microbial diversity. 4th International Conference on Microbial Diversity 2017, Oct 2017, Bari, Italy. ⟨hal-02736151⟩
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