COGNOTIC CORE PROGRAM / Integration of multiple heterogeneous data sources in translational medicine using semantic techniques

Integration of multiple heterogeneous data sources in translational medicine using semantic techniques

Project Coordinator: Prof. Dr. Eng. Math. Adriana ALEXANDRU – Scientific Researcher I

Overall objectives of the project

  • use of ontologies in the semantic integration of information sources in the field of fundamental biomedical sciences, clinical practice and public health;
  • architectural model of an integration environment of information sources used in translational medicine at the semantic level and of distributed interrogation of biomedical data sources.

Results

  • study on the current state of the art and trends of research, development, and innovation in the field of data integration solutions in translational medicine: data sources, available standards, data integration solutions;
  • study of the use of ontologies associated with knowledge bases in translational medicine in which data sources and data source structures are presented; standards available for the Health sector; solutions for integrating information sources; definitions, notions about ontologies; computer languages for representing ontologies; use of specific semantic web techniques for the integration of heterogeneous data sources;
  • basic concepts and systems for translational medicine;
  • architectural models for the integration of data sources used in translational medicine;
  • distributed query systems for biomedical data sources;
  • OpenEHR architectural reference model for integrating data sources used in translational medicine.
Short description

Use of ontologies in the semantic integration of information sources in the field of fundamental biomedical sciences, clinical practice and public health; architectural model of an integration environment of information sources used in translational medicine at the semantic level and of distributed interrogation of biomedical data sources.