Thalia: semantic search engine for biomedical abstracts.

Bioinformatics

National Centre for Text Mining, School of Computer Science, University of Manchester, Manchester, UK.

Published: May 2019

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513154PMC
http://dx.doi.org/10.1093/bioinformatics/bty871DOI Listing

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