Filed in: knowledge graph

AI & Knowledge Management: Academia-Industry Summit (AIKM)

Knowledge Management conferences| Knowledge Management education & training worldwide

The AI (Artificial Intelligence) & Knowledge Management: Academia-Industry Summit (AIKM), aka International Conference on AI & Knowledge Management: Academia-Industry Summit (AIKM), will seek to explore developments in AI including machine learning and generative AI (i.e., ChatGPT) and their impact on and implications for the various components of the knowledge industry.

Knowledge Graph – Artificial Intelligence Summit (KG-AI Summit)

Knowledge Management conferences| Knowledge Management education & training worldwide

The Knowledge Graph – Artificial Intelligence Summit (KG-AI Summit), organized by the International Semantic and FAIR Knowledge Graph Alliance (KGA), aims to bring together the brightest minds from industry and academia to foster innovation, share cutting-edge research, and explore practical applications the field of knowledge graphs and artificial intelligence. Attendees will have the opportunity to

International Conference on Ontologies and Knowledge Graphs (ICOKG)*

Knowledge Management conferences| Knowledge Management education & training worldwide

The International Conference on Ontologies and Knowledge Graphs (ICOKG) is a research-oriented conference on knowledge graphs, ontologies and other related topics, organized by the Ontological Engineering Laboratory, Faculty of Computer Sciences, Benemerita Universidad Autonoma de Puebla, Mexico. It aims to be an open forum for communication between students and researchers who carry out initial, intermediate

Knowledge Graph Forum*

Knowledge Management conferences| Knowledge Management education & training worldwide

The Knowledge Graph Forum, organized by Zazuko, serves as a platform where companies are invited to share their ongoing work and use cases with Knowledge Graphs. The goal is to encourage learning and sharing of valuable insights from their projects. The primary interest lies in Knowledge Graphs based on the Resource