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Knowledge Translation and Transfer Symposium (KTT Symposium)*

Knowledge Management conferences| Knowledge Management education & training worldwide

The Knowledge Translation and Transfer Symposium (KTT Symposium), formerly the OMAFRA-U of G or Knowledge Translation and Transfer (KTT) Knowledge Exchange Day/Event, is organized by the Knowledge Translation and Transfer (KTT) Research Program (formerly aka Agri-Food and Rural Link…) of the Ontario Agri-Food Innovation Alliance, formerly known as the Ontario Ministry of Agriculture, Food, and

IEEE International Conference on Social Computing and Networking (IEEE SocialCom)*

Knowledge Management conferences| Knowledge Management education & training worldwide

The IEEE International Conference on Social Computing and Networking (IEEE SocialCom), formerly the International Conference on Social Computing and Its Applications (SCA), the International Symposium on Social Computing and Networking (SocialNet), and initially, in 2009, the International Symposium on Social Intelligence and Networking (SIN), is to bring together computer scientists, industrial engineers, and researchers to

International Conference on Knowledge Capture (K-CAP)*

Knowledge Management conferences| Knowledge Management education & training worldwide

The biennial International Conference On Knowledge Capture (K-CAP), formerly the Knowledge Acquisition Workshop (KAW) series 1), is providing a forum that brings together members of disparate research communities that are interested in efficiently capturing knowledge from a variety of sources and in creating representations that can be useful for reasoning, analysis, and other forms of

IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technologies (IEEE/WIC WI-IAT)*

Knowledge Management conferences| Knowledge Management education & training worldwide
  • Tracks: WEB OF PEOPLE (Human Creativity and Decision-making Support; Information Diffusion; Social Network Analysis; Wisdom Services;…); WEB OF DATA (Big Data Analytics and Deep Learning; Data-Knowledge-Wisdom Hierarchy; Data Science and Machine Learning; Few-shot Learning and Transfer Learning; Information Search and Retrieval; Knowledge Graph and Semantic Networks; Representation Learning;…)