EAIML #16: Knowledge Graphs, Daria S., Bosch Center for AI
Details
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Dear AI & ML Enthusiasts,
This time we have an exciting speaker.
Agenda:
Welcome
Interview
Talk 1:
Rule Induction and Reasoning in Knowledge Graphs
Daria Stepanova, Bosch Center for AI
https://dariastepanova.github.io/
Abstract:
Advances in information extraction have enabled the automatic construction of large knowledge graphs (KGs) like DBpedia, Freebase, YAGO and Wikidata.
Learning rules from KGs is a crucial task for KG completion, cleaning and
curation. This tutorial presents state-of-the-art rule induction methods,
recent advances, research opportunities as well as open challenges along this avenue. We put a particular emphasis on the problems of learning exception-enriched rules from highly biased and incomplete data. Finally, we discuss possible extensions of classical rule induction techniques to account for unstructured resources (e.g., text) along with the structured ones.
Looking forward to seeing you all!
We are grateful to Siemens for hosting us!
Alex
P.S.
➡️ If you are on Telegram, the best place to receive updates about the meetup is the Telegram channel
https://t.me/joinchat/AAAAAEo_fNZjxEplFHGGrg
You can also join the channel by searching for EAIML on Telegram.
➡️ If you do not have Telegram yet, you can get a Telegram Account for free here https://telegram.org
➡️ If you have further questions about the meetup, the best way to contact me is on Telegram. Just search for alexanderlorz.
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