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.
Previous item | Next item |
Back to news summary page |
Featured News
- FinNLP-FNP-LLMFinLegal @ COLING-2025 - Call for papers
- Keynote talk at Manchester Law and Technology Conference
- Keynote talk at ACM Summer School on Data Science, Athens
- Congratulations to PhD student Panagiotis Georgiades
Other News & Events
- Invited talk at the 8th Annual Women in Data Science Event at the American University of Beirut
- Invited talk at the 2nd Symposium on NLP for Social Good (NSG), University of Liverpool
- Invited talk at Annual Meeting of the Danish Society of Occupational and Environmental Medicine
- Advances in Data Science and Artificial Intelligence Conference 2024
- New review article on emotion detection for misinformation