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CEDAS & MediaFutures Joint Seminar: Knowledge Graph: Exploring Reasoning and Learning with Jeff Z. Pan

November 11 @ 13:00 - 14:00

Please join the Center for Data Science (CEDAS, UiB) and MediaFutures for an invited talk by Dr. Jeff Z. Pan from the School of Informatics at The University of Edinburgh, about the topic of Knowledge Graphs.

TITLE: Knowledge Graph: Exploring Reasoning and Learning
WHEN: 11 November, 13:00-14:00
WHERE:https://uib.zoom.us/j/66264523995?pwd=V0RCd3l4NHNkSHpBRzlXZzl0RDEwdz09

Abstract: coming soon

Speaker: Dr Jeff Z. Pan is a Reader on Knowledge Graphs at  the School of Informatics at The University of Edinburgh. He co-chairs the Knowledge Graphs group at the Alan Turing Institute. He received his Ph.D. in Computer Science from The University of Manchester. His research focuses primarily on knowledge representation and artificial intelligence, in particular on knowledge graph based learning and reasoning, and knowledge based natural language understanding and generations, as well as their applications. He was an official reviewer of the international Knowledge Graph standards RDF and SPARQL and was a key contributor of the international standard (OWL) of Knowledge Graph schemas. He led the development of the award-wining TrOWL approximate reasoner, which is one of the top three OWL 2 DL reasoners in the sound and complete Ontology Reasoner Evaluation (ORE2014). He was the Chief Scientist of the EU Marie-Curie K-Drive project. He is the Chief Editor of the first two books on Knowledge Graph. He is an Associate Editor of the Journal of Web Semantics (JWS) and of the International Journal on Semantic Web and Information Systems (IJSWIS). He is a Programme Chair of the 19th International  Semantic Web Conference (ISWC 2020), the premier international forum for the Semantic Web and Knowledge Graph.

For more info from CEDAS, please visit: https://www.uib.no/cedas-norsk/147863/knowledge-graph-exploring-reasoning-and-learning 

Details

Date:
November 11
Time:
13:00 - 14:00
Event Categories:
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Venue

Online

Organizers

CEDAS – Center for Data Science, UiB
MediaFutures