报告题目:Ontology-driven Data Management

报告人：张国强 教授（Case Western Reserve University,Cleveland, Ohio, USA）

报告时间：5月16日 15：30—17:00

报告地点：中北校区数学馆201

报告摘要:

We present an ontology-driven data integration environment called PhysioMIMI (Multi-modality, Multi-resource Information Integration Environment for Physiological and Clinical Research) and illustrate a variety of application scenarios of this environment. PhysioMIMI uses a federated data management approach with a domain ontology as the semantic infrastructure driving data integration, query interface design, and data harmonization across clinical studies. The front-end of PhysioMIMI is a reusable and user-friendly query interface called VISAGE (Visual Aggregator and Explorer). The backend of PhysioMIMI uses an ontology-driven Map and Connect approach, in contrast to the traditional ETL (Extract, Transform and Load) process used in a data warehouse approach. The Map and Connect paradigm embodies flexibility for accommodating data quality improvements in source data by pushing data curation tasks upstream in a source-specific, decentralized way, so that updates can be managed distributively throughout the data reuse life-cycle.

报告人简介:

Dr. GQ Zhang is Professor of Computer Science and Division Chief of Medical Informatics at Case Western Reserve University's Engineering School and Medical School, respectively. He serves as a Director of Biomedical Informatics Core for CTSC, a member of the Consortium of Clinical Translational Science Award of the National Center for Advancing Translational Sciences, Associate Director of Case Comprehensive Cancer Center, Professor of Proteomics and Bioinformatics and Professor in the Center for Clinical Investigation.  His research interests spans Data Management in Biomedicine, Biomedical Ontologies and Applications, Ontology  Quality Assurance, Clinical Research Informatics, and Theoretical Computer Science.  Dr. Zhang has served on numerous panels, editorial boards and programming committees. He is the author of over 100 publications ranging from automata theory, domain theory, ontology, imaging, to clinical research informatics.