Biology is incredibly complex, multi-faceted and involved: we build knowledge engineering technology to help scientists understand and tackle this complexity. As an introduction to our work, we have a number of online presentations of the underlying theory behind the definition of our approach.
We develop practical, knowledge-centric solutions for biomedical researchers. We focus on finding the strategic information bottlenecks in the current biomedical informatics architecture and work with top-level computer scientists to create well-engineered solutions and infrastructure. We place our focus on developing tools for specific biomedical communities and domains, whilst attempting to have the technology that we construct be general enough to be applied to any biomedical domain. The research we are engaged in leverages cutting-edge research in Artificial Integlligence and applies it to biomedicine. This primarily involves the following areas:
- Natural Language Processing, Text Mining and Machine Reading
- Knowledge Representation and Reasoning, Ontology Engineering and Semantic Web
- Information Integration, Domain Modeling
- User Interfaces, Data Visualization
- Software Engineering, Tool Development and Deployment
In particular, we wish to understand and empower biomedical discovery. This is a new field of research and we would like to develop and participate in developing a bioinformatics community around this idea.
If you have similar interests to us, or are interested in collaborating, please contact us.
We maintain an active Wiki as our central role within the Knowledge Engineering Working Group of the Biomedical Informatics Research Network (BIRN) describing all aspects of our work, if you'd like to dive into a little more detail. We are a subgroup within the large dynamic team of the Information Integration Group under Craig Knoblock at ISI.
If you have any questions, don't hesitate to contact any member of our team: 'People' Page