ICIC   25583
INSTITUTO DE CIENCIAS E INGENIERIA DE LA COMPUTACION
Unidad Ejecutora - UE
artículos
Título:
Thalia: Semantic search engine for biomedical abstracts
Autor/es:
ANANIADOU, SOPHIA; PRZYBYLA, PIOTR; SOTO, AXEL J
Revista:
BIOINFORMATICS (OXFORD, ENGLAND)
Editorial:
OXFORD UNIV PRESS
Referencias:
Año: 2019 vol. 35 p. 1799 - 1801
ISSN:
1367-4803
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.