Though detection and analysis of temporal trends and patterns in data is central to informatics research, the biomedical field has no standard means for making them. Chronus is a database mediator that supports temporal queries on relational databases by extending the SQL query language and standard relational model. It allows users to easily write complex temporal queries using an expressive SQL-based temporal query language.
We are building an ontology-based architecture to support the management of clinical trials. At the core of our architecture is a suite of ontologies that we call Epoch that encodes knowledge about the clinical trial domain that is relevant to trial management applications.