Knowledge graphs provide a useful foundation for capturing and communicating the ideas and relationships for human decisions. In this talk, I will introduce three knowledge graphs created by our projects — on business relationships, scientific articles, and common sense. I will illustrate how these knowledge graphs have been used to help entrepreneurs hone their business ideas, allow researchers to assess the reproducibility of research, and enable AIs to participate in engaging and coherent dialogue. These projects are possible because of a core set of tools for data curation, knowledge representation, and neuro-symbolic reasoning.
Jay Pujara is a research assistant professor of Computer Science at the University of Southern California and the director of the Center on Knowledge Graphs and a research lead at the Information Sciences Institute. His principal areas of research are artificial intelligence, machine learning, and data science. He completed a postdoc at UC Santa Cruz, earned his PhD at the University of Maryland, College Park and received his MS and BS at Carnegie Mellon University. Jay has also worked in industry at Yahoo!, Google, LinkedIn and Oracle. Jay is the author of over fifty peer-reviewed publications and has received four best paper awards for his work, and had his work featured in AI Magazine. For more information, visit https://www.jaypujara.org.
Host: Deborah Khider, POC: Amy Feng
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