Wikidata: Making the World’s Knowledge Machine Readable
Wikimedia e.V. Deutschland Tempelhofer Ufer 23-24, BerlinLucas Werkmeister will talk about Wikimedia, a project that collects the world’s knowledge in a machine readable format.
Conferences and other events about knowledge graphs, linked data and related topics
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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
A full day of sessions on Neo4j graph technology.
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.