Topics in Knowledge Graphs

This course will explore emerging trends in research on semantic technologies, focusing on knowledge representation, management, and modeling, including the application of knowledge graphs and ontologies to the evolving artificial intelligence landscape. As this is a seminar course, students will give many presentations (some short and some more in depth) and lead discussions throughout the term that will help them to understand, conduct, and evaluate academic research while exploring emerging trends in semantic technologies. This course strives to give students the foundation required to contribute to leading edge semantics research while providing the opportunity to produce a substantive research survey. Such a research survey may serve as a starting point for a related work chapter of a thesis, and may also serve as a way to fulfill the research qualifying examination requirement in a CS graduate program. Participants will read relevant materials and learn how to critically review both emerging as well as foundational work related to knowledge graphs, as well as ontologies and knowledge graphs themselves. They will also use the review to propose a research topic in knowledge graphs that can serve as the basis for their dissertation research, or as an investigation within a project they are currently working on.