In addition to providing services, the centre is also involved in, and makes significant contributions to, the text mining research community both nationally and internationally in initiatives such as Europe PubMed Central.
[9] HOM is a semantic search system over historical medical document archives BioLexicon is a large-scale terminological resource for the biomedical domain.
GREC is a semantically annotated corpus of Medline abstracts intended for training IE systems and/or resources which are used to extract events from biomedical literature.
The workbench, which is accessed as a web application, supports the combination of elementary text-processing components to form comprehensive processing workflows.
A repetitive cycle of text mining, modelling, experimental testing, and worldview updating is intended to lead to increased knowledge about cancer mechanisms.
This is a collaboration with the Text-Mining group at the European Bioinformatics Institute (EBI) and Mimas (data centre), forming a work package in the Europe PubMed Central project (formerly UKPMC) hosted and coordinated by the British Library.
Europe PMC, as a whole, forms a European version of the PubMed Central paper repository, in collaboration with the National Institutes of Health (NIH) in the United States.
The resulting digital resource will provide fully interlinked and indexed access to the full content of BHL library documents, via semantically enhanced and interactive browsing and searching capabilities, allowing users to locate precisely the information of interest to them in an easy and efficient manner.
The aims of the project include developing unsupervised new text mining methods to derive term similarities, supporting screening during EBPH reviews, and creating new algorithms for ranking and visualising meaningful associations of multiple types in a dynamic and iterative manner.