My research interests include artificial intelligence (specially ontology), data mining, data integration, biomedical and health informatics, and the Semantic Web. My research combines knowledge-driven and data-driven approaches to address three critical challenges in processing and managing real world data and knowledge: heterogeneity, reusability, and scalability.
Information resources distributed across the Internet, such as online databases, web services and Semantic Web agents, are hard to process automatically for knowledge acquisition and knowledge sharing because their data are structurally and semantically heterogeneous. Also, most current AI or machine learning systems are hard to scale to efficiently process large size of data and knowledge.
I direct the Advanced Integration and Mining (AIM) Laboratory and work with my students and collaborators on several research projects funded by the National Science Foundation and the National Institutes of Health. Recently, my research has primarily focused on the following research projects: