Leveraging Knowledge Graphs for Better Knowledge Management
Virtual (online event)This webinar will dive into key technical and business considerations, use cases and best practices in leveraging knowledge graphs for better knowledge management.
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 webinar will dive into key technical and business considerations, use cases and best practices in leveraging knowledge graphs for better knowledge management.
Three speakers will discuss SEOnt, the Socio-Economic Ontology built by the CGIAR and partners to annotate agricultural household surveys.
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.
Alex Barbosa Coqueiro of AWS will cover graph technology, how graphs can be applied to real-world business problems, and show graph examples.
IEEE ICKG 2020 provides a premier international forum for presentation of original research results in knowledge graph opportunities and challenges.
This webinar will provide participants with information on ontologies and how they can be used in the enterprise.
The Knowledge Graphs and E-Commerce workshop will cover knowledge discovery and knowledge graphs, including construction, application and embeddings, primarily for e-commerce and enterprise applications.
This workshop will explore innovative solutions and ideas for the production and consumption of Scientific Knowledge Graphs (SKGs). This event moved online.
At this event participants will celebrate and recall some of the Jena milestones and learn from community members and project contributors.
This tutorial is targeted for DBpedia developers that wish to learn how to replicate local infrastructure such as loading and hosting an own SPARQL endpoint.