Artículo
Thalia: Semantic search engine for biomedical abstracts
Fecha de publicación:
15/05/2018
Editorial:
Oxford University Press
Revista:
Bioinformatics (Oxford, England)
ISSN:
1367-4803
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
While publication rate of the biomedical literature has been growing steadily during the last decades, the accessibility of pertinent research publications for biologist and medical practitioners remains a challenge. This paper describes Thalia, which is a semantic search engine that can recognize eight different types of concepts occurring in biomedical abstracts. Thalia is available via a web-based interface or a RESTful API. A key aspect of our search engine is that it is updated from PubMed on a daily basis. We describe here the main building blocks of our tool as well as an evaluation of the retrieval capabilities of Thalia in the context of a precision medicine dataset.
Palabras clave:
RESTFUL API
,
THALIA
,
SEMANTIC SEARCH ENGINE
,
PRECISION MEDICINE DATASET
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(CCT - BAHIA BLANCA)
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - BAHIA BLANCA
Articulos de CTRO.CIENTIFICO TECNOL.CONICET - BAHIA BLANCA
Citación
Soto, Axel Juan; Przybyla, Piotr; Ananiadou, Sophia; Thalia: Semantic search engine for biomedical abstracts; Oxford University Press; Bioinformatics (Oxford, England); 35; 10; 15-5-2018; 1799-1801
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