Presentation
We will have a gentle introduction to knowledge graphs and ontologies. We provide examples and give an overview of application scenarios. Then, we present and discuss an application of machine learning to a task known as link prediction, where the goal is to predict an entity, or a relation given an incomplete piece of information in the knowledge graph. Finally, we see recent approaches to combine the knowledge expressed in a knowledge graph, or more generally in an ontology, with the generative capability of language models to answer questions.
Speaker
Ana Ozaki has a background in computer science, specialized in the field of knowledge representation and reasoning and in machine learning theory. Her research focuses on learning logical theories formulated in description logic and related formalisms for knowledge representation. She serves the AI community as a program committee member for NORA and as a steering committee member of KR and DL. Ozaki is a member of the editorial boards of the Journal of Machine Learning Research and the Journal of Web Semantics. Ozaki has recently worked as Program Committee Chair for the 7th International Joint Conference on Rules and Reasoning and the 36th International Description Logic Workshop.
Program
11:30 – Doors open and lunch is served
12:00 – "Knowledge Graphs and Ontologies in AI" by Ana Ozaki (Associate Professor, Department of Informatics, University of Oslo)
This event is open for all students, PhD candidates, postdocs, and everyone else who is interested in the topic. No registration needed.
About the seminar series
Once a month, dScience will invite you to join us for lunch and professional talks at the Science Library. In addition to these, we will serve lunch in our lounge in Kristine Bonnevies house every Thursday. Due to limited space (40 people), this will be first come, first served. See how to find us here.
Our lounge can also be booked by PhDs and Postdocs on a regular basis, whether it is for a meeting or just to hang out – we have fresh coffee all day long!