SEOnt: Semantics Mapping Exercise to Add Structure to Messy Socio Economic Data
Virtual (online event)Three speakers will discuss SEOnt, the Socio-Economic Ontology built by the CGIAR and partners to annotate agricultural household surveys.
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.
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.
This webinar will provide participants with information on ontologies and how they can be used in the enterprise.
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.
The session provides an overview and demo of the FIBO Data Model and the patent-pending transformation technology that derived it.
The SEMANTiCS Video Forum 2020 will allow industry experts to learn about new technologies, innovations and enterprise implementations in the fields of linked data and semantic AI.
Yewno COO Ruth Pickering will explore how AI can help publishers use knowledge graphs to better curate their collections and maximize resources.
Dean Allemang and Jim Hendler, authors of Semantic Web for the Working Ontologist, discuss their book, key technology trends, their recommendations for more effective semantic modeling, and more.