Eclipse RDF4J: Working with RDF in Java
Virtual (online event)This Meetup will introduce Eclipse RDF4J in detail and give examples on how it can be used effectively to build applications and new data services.
Conferences and other events about knowledge graphs, linked data and related topics
While every effort has been made to keep these listings current, in light of the COVID-19 pandemic always check the linked event site for the most up-to-date information concerning that event.
This Meetup will introduce Eclipse RDF4J in detail and give examples on how it can be used effectively to build applications and new data services.
This tutorial will present state-of-the-art rule induction methods for knowledge graph completion.
At this virtual Meetup a panel of industry experts will discuss use cases, evolution and maturity of knowledge graphs in the enterprise, in addition to key trends and innovations in this space.
This presentation will look at recently implemented SHACL-based capabilities using the TopBraid platform as an example.
Meetup includes presentations on GraphRM, GraphAware Hume and RedisGraph. In Italian/in italiano.
This Meetup will feature of talk of the National University of Singapore on MIDAS, which finds anomalies or malicious edges in time-evolving graphs.
This one day, online conference will address a 2020 vision for the semantic web, the history of knowledge graphs, and graphs' impact on sustainable finance use cases.
Alessandro Negro will deliver a talk titled "Using Knowledge Graphs to predict customer needs, improve product quality and save costs" and present a demo, "Fighting corona virus with Knowledge Graph and Hume."
This presentation will discuss various techniques for knowledge graph extraction and completion, domain-specific schema creation, custom bi-LSTM-CRF model for entity extractors and attention-based deep semantic role labeling.
In this Meetup Adit Mehta, Lead Data Scientist at Cape AI, will discuss what knowledge graphs are, highlight their value, demonstrate a knowledge graph in action, and discuss some of the use cases currently being explored by Cape AI.