Thalia: semantic search engine for biomedical abstracts
2018; Oxford University Press; Volume: 35; Issue: 10 Linguagem: Inglês
10.1093/bioinformatics/bty871
ISSN1367-4811
AutoresAxel J. Soto, Piotr Przybyła, Sophia Ananiadou,
Tópico(s)Genomics and Rare Diseases
ResumoAbstract Summary Although the 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 article 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. Availability and implementation Thalia is available at http://nactem.ac.uk/Thalia_BI/. Supplementary information Supplementary data are available at Bioinformatics online.
Referência(s)