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.
A live webinar discussion and demo to see how the use of Semantic AI and models provide the context and meaning that drive exceptional Chatbot experiences.
Learn how enterprises are using a massively parallel processing (MPP) native graph database to accelerate complex, large-scale data integration initiatives.
In this webinar, a panel of experts will answer questions about how AI, Knowledge Graphs, and Semantic tools work together to solve complicated business problems.
At this Meetup, Alexandra Olteanu (Microsoft Research) will present on problematic text suggestions, and Svitlana Vakulenko (University of Amsterdam) will present on QA over knowledge graphs.
Two presentations on how KgBase, or Knowledge Graph Base, can be used to create knowledge graphs for insights about data.
The Forum will outline what companies will do in the short term to fill the void of a fully functioning data-centric architecture, available for purchase.
Jamie Powers and Judy Barkal discuss how they are using knowledge graphs and connected data to drive patient-centric data analytics in oncology research.
Grakn Cosmos 2020 is the first-ever universal conference of technologies built using Grakn.
Lucas Werkmeister will talk about Wikimedia, a project that collects the world’s knowledge in a machine readable format.
Nous expliquerons pourquoi et comment le contexte doit être intégré dans les systèmes d'IA afin de s'assurer qu'ils sont vraiment fiables, robustes et dignes de confiance
Panelists from will take a business-focused, pragmatic view of knowledge graphs, AI, and semantic tools.
Niké Brown will be lead an interactive discussion centred on defining what a taxonomy is, and how it is different from a thesaurus or an ontology.
In this session, participants will learn the basic concepts of graph DB, alongside real life use cases, including Elbit’s.
This meetup's topics range from applications of NLP in Geography, over multi-aspect sentiment classification to the automatic construction of knowledge graphs.
This meetup will feature talks on BERT and NLP, the Richardson API Maturity Model and knowledge graphs.
"Diffbot's aim is to build the most accurate and comprehensive map of human knowledge. The Diffbot Knowledge graph is the world’s largest database of structured data, autonomously built by extracting data across the whole web. This technically very ambitious goal consists of many steps: crawling the web, using machine learning to identify relevant information on […]
ALLDATA 2020 follows a series of events for a better understanding of data semantics and their use.
In this presentation Bryon Jacob of data.world will cover why a data catalog is the first knowledge graph that an organization should build.
