Learning With the Machines: Open Source Graph AI, Search and Data Science With Python
Virtual (online event)This two-day event will feature presentations, masterclasses and community interaction on graph-based data science and machine learning.
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 two-day event will feature presentations, masterclasses and community interaction on graph-based data science and machine learning.
Emeka Okoye will explain how graph analytics can be used to model, store, retrieve and analyze graph-structured data.
Graph + AI Summit is an open conference for accelerating analytics, AI and machine learning with graph algorithms.
Elizabeth Michel will demonstrate how different taxonomies can be reconciled and unified using a centralized ontology.
Authors of the ebook The Rise of the Knowledge Graph will explore the universe of knowledge graphs and their role in data-intensive use cases.
This webinar explores some of the ways that cultural heritage institutions can use controlled vocabularies and linked data to improve the discoverability of their content in Europeana
The Knowledge Graph Conference brings together engineers, enterprise users, and academics learning and working with knowledge technologies.
This event will explore how MarkLogic and ontologies work together to unlock the potential of content.
During this masterclass Noz Urbina will teach participants how to build content models around user needs.
This workshop aims at bringing HCI (human-computer interaction) and KG (knowledge graph) communities together to discuss how HCI methods could help identify and overcome the issues that keep knowledge graphs from better user interfaces.