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
KM Conferences
Knowledge Management conferences, conferences related to Knowledge Management, and conferences with a Knowledge Management track, stream, topic, or conference theme
International Conference on Information, Knowledge Management and Big Data Computing (ICIKMBDC)
The International Conference on Information, Knowledge Management and Big Data Computing (ICIKMBDC), quasi-successor of the International Conference on E-Learning and Knowledge Management (ICEKMT), is a premier forum for researchers, practitioners, developers and users who are interested in Knowledge Management, Big Data and computing to explore new ideas, techniques and tools, as well as to exchange
IEEE/WIC International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)*
- 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;…)
International Conference on Intelligent Systems and Knowledge Engineering (ISKE)*
The International Conference on Intelligent Systems and Knowledge Engineering (ISKE) emphasizes current practice, experience and promising new ideas in the broad area of intelligent systems and knowledge engineering. Topics include: Foundations of Intelligent Systems; Knowledge Engineering and Management; Practical Applications and Systems. ISKE emerged from the project on “Intelligent Systems for Data