Abstract
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.
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CITATION STYLE
Soto, A. J., Przybyła, P., & Ananiadou, S. (2019). Thalia: Semantic search engine for biomedical abstracts. Bioinformatics, 35(10), 1799–1801. https://doi.org/10.1093/bioinformatics/bty871
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