Thalia: Semantic search engine for biomedical abstracts

Axel Soto, Piotr Przybyla, Sophia Ananiadou

Research output: Contribution to journalArticlepeer-review

Abstract

Summary: 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.
Original languageEnglish
JournalBioinformatics
Early online date17 Oct 2018
DOIs
Publication statusPublished - 2018

Research Beacons, Institutes and Platforms

  • Manchester Institute of Biotechnology

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