Ying Ding, Indiana University
- 1:30 pm
Big data brings us challenges, but also hopes. This talk discusses these challenges and hopes from the semantic perspective. I will present two use cases to demonstrate the potential of semantic technologies for data integration and data analysis. The first use case discusses how to integrate researcher profiling data from different universities using their faculty annual report data. The second use case focuses on how to integrate public knowledge embedded in experimental data and literature data to facilitate drug discovery. It highlights some foreseeable future changes for search and some issues that urgently need to be solved.
Dr. Ying Ding is an associate professor at the School of Informatics and Computing, Indiana University. Previously she worked as a senior researcher at the University of Innsbruck, Austria and as a researcher at the Free University of Amsterdam, the Netherlands.
She has been involved in various NIH and European-Union funded semantic web projects. She has published over 170 papers in journals, conferences, and workshops. She is the co-editor of the Semantic Web Synthesis book series by Morgan & Claypool publishers and the co-author of Intelligent Information Integration in B2B Electronic Commerce, published by Kluwer Academic Publishers. She is also co-author of book chapters in Spinning the Semantic Web, published by MIT Press, and Towards the Semantic Web: Ontology-driven Knowledge Management, published by Wiley. She is the editorial board member of four ISI indexed top journals in information science and the semantic web. Her current research interest areas include social network analysis, the semantic web, citation analysis, knowledge management, and applications of web technology.