A Review of Relational Machine Learning for Knowledge Graphs下载

TITLE: A Review of Relational Machine Learning for Knowledge Graphs AUTHORS: Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich PROFILES: Kevin Murphy is a research scientist at Google in Mountain View, California, where he works on AI, machine learning, computer vision, knowledge base construction and natural language processing. Before joining Google in 2011, he was an associate professor of computer science and statistics at the University of British Columbia in Vancouver, Canada. Before starting at UBC in 2004, he was a postdoc at MIT. Kevin got his BA from U. Cambridge, his MEng from U. Pennsylvania, and his PhD from UC Berkeley. Volker Tresp received a Diploma degree from the University of Goettingen, Germany, in 1984 and the M.Sc. and Ph.D. degrees from Yale University, New Haven, CT, in 1986 and 1989 respectively. Since 1989 he is the head of various research teams in machine learning at Siemens, Research and Technology. He filed more than 70 patent applications and was inventor of the year of Siemens in 1996. He has published more than 100 scientific articles and administered over 20 Ph.D. theses.