Home Aims & Objectives NaCTeM Services Text Mining Tools Text Mining Infrastructures Text Mining for Biodiversity Resources Terms & Conditions FAQ News & Events News What others are saying about us Press and Journal Mentions NaCTeM Seminars People Projects Publications Community External Collaboration Vacancies Teaching & Tutorials Feedback How to find us

New semantic search engine for biomedical literature

2018-10-17

We are pleased to announce the release of Thalia, a new semantic search engine for biomedical literature.

Thalia recognises eight different types of biomedical concepts, and is updated from PubMed on a daily basis.

Thalia is further described in the following article:

Axel J Soto, Piotr Przybyła and Sophia Ananiadou (2018).Thalia: Semantic search engine for biomedical abstracts Bioinformatics

Abstract

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.