Prof Robert Stevens
Professor
Biography
I am a professor of computer science in the Bio-Health Informatics Group in the School of Computer Science at the University of Manchester. I have a B.Sc. in biochemistry; an M.Sc. in biological Computation; and a D.Phil. in Computer Science: A blend of Biology and Computer Science, that I use within my main research area of Bioinformatics. I am also a member of the Information Management Group where I work with colleagues on both e-Science and description logics. I also have close affiliation with the Bioinformatics Groups from the Faculty of Life Sciences.Publications
- Ambiguity and variability of database and software names in bioinformatics
Journal of Biomedical Semantics. BioMed Central Ltd.; 2015
- bioNerDS: exploring bioinformatics’ database and software use through literature mining
B M C Bioinformatics. BioMed Central Ltd.; 2013
- Extracting patterns of database and software usage from the bioinformatics literature
Bioinformatics. Oxford University Press; 2014
- Extracting patterns of database and software usage from the bioinformatics literature
Bioinformatics. Oxford University Press; 2014
- bioNerDS: exploring bioinformatics’ database and software use through literature mining
BMC Bioinformatics; 2013
- Mining semantic networks of bioinformatics e-resources from the literature
Journal of Biomedical Semantics; 2011
- Towards Semantic Network of Bioinformatics Resources
ISMB/ECCB 2009. Stockholm, Sweden; 2009
- Towards Semantic Annotation of Bioinformatics Services: Building a Controlled Vocabulary
Third International Symposium on Semantic Mining in Biomedicine (SMBM 2008). Turku, Finland; 2008
- Mining Semantic Descriptions of Bioinformatics Web Resources from the Literature
Proceedings of ESWC 2009: The Semantic Web: Research and Applications, 6th European Semantic Web Conference, ESWC 2009. Heraklion, Crete, Greece, . Springer; 2009
Projects
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Mining bioinformatics service descriptions
There are a number of services and resources available to the bioinformatics community, but meta-data that describe them is typically scarce. This project aims to develop text mining techniques to automatically describe, locate, retrieve and reason about bioinformatics services and resources. We investigate methods that extract descriptions from various document…