报告人：
时间：
地点：bat365在线中国登录入口数学馆201室
题目：Ontology-driven Data Integration: The PhysioMIMI Project
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 deployment 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. Guo-Qiang 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, USA, Associate Director of Case Comprehensive Cancer Center, Professor of Proteomics and Bioinformatics and Professor in the Center for Clinical Investigation. His research interests spans theoretical and applied computer science, and he has been the chief architect of several innovative ontology-driven software systems for capturing, querying, integrating clinical research data. Dr. Zhang serves on numerous panels, editorial boards and programming committees. He is the author of over 120 publications ranging from automata theory,domain theory, ontology, imaging, to clinical research informatics.
