Abstract:
Ontologies have been well used as formal specification of human knowledge in various domains. In this talk, Prof. Dejing Dou will first formally define ontology and explain its relationships with other research areas in AI, such as knowledge base, Semantic Web, and knowledge graph. Then Prof. Dou will show how to apply ontologies in deep learning, which has attracted tremendous enthusiasm in both academia and industry recently. The key breakthrough in deep learning was due to a series of improvements in artificial neural network, big data, and computational power. The design of deep learning models (i.e., representation learning) is flexible but also “flat” in certain scenarios. We argue that a hierarchical design of deep learning systems based on domain knowledge (e.g., ontologies) will gain some advantage in performance and help providing the explanation for the resulted models. Prof. Dou will introduce our current ontology-based deep learning (OBDL) framework and its applications in EHR, healthcare, and other domains. The research efforts of OBDL also contribute to the establishment of an NSF funded Center for Big Learning (CBL).
Short Bio:
Prof. Dejing Dou received his bachelor degree in Electronic Engineering from Tsinghua University in 1996 and his Ph.D. degree in Artificial Intelligence from Yale University in 2004. His research areas include artificial intelligence, data mining, data integration, NLP, and health informatics. Prof. Dou has published more than 100 research papers, some of which appear in prestigious conferences and journals like AAAI, IJCAI, KDD, ICDM, ACL, EMNLP, CIKM, ISWC, JIIS and JoDS. His DEXA’15 paper received the best paper award. His KDD’07 paper was nominated for the best research paper award. He is on the Editorial Boards of Journal on Data Semantics, Journal of Intelligent Information Systems, and PLOS ONE. He has been serving as program committee members for various international conferences and as program committee co-chairs for five of them. Prof. Dou has received over $5 million PI research grants from the NSF and the NIH. He has been a Professor in Computer and Information Science at the University of Oregon. Right now, Prof. Dou is on sabbatical leave from the University of Oregon and serving as the head of Big Data Lab (BDL) at Baidu Research.
Enquiry: Ana Sou (853) 8822-9634