Information modeling and knowledge bases have become increasingly important for academic communities working with information systems, computer science, and artificial intelligence, and the volume and complexity and levels of abstraction, together with the size of databases and knowledge bases, continue to grow in parallel with the rising complexity of computational processes.
This book presents the proceedings of EJC 2024, the 34th international conference on Information Modelling and Knowledge Bases, held in Tokyo, Japan, from 10 to 14 June 2024. The EJC conference series aims to explore the progress in research communities with a common interest in understanding and solving problems on information modeling and knowledge bases and applying the results of research to practice by means of sharing scientific results and experiences achieved using innovative methods and systems in computer science and other disciplines. The selected papers published here cover many areas of information modeling and knowledge bases, including the theory of concepts, semantic computing, data mining, machine learning, context-based information retrieval, ontological technology, image databases, temporal and spatial databases, natural language processing, software engineering, cross-cultural computing, environmental analysis, social computing, and many others. This latest edition of the conference also addressed the question of global & environmental AI for nature and society and asked whether System 2 can do everything that AI cannot do yet.
Offering a comprehensive overview of current developments, the book will be of interest to all those working in the field.
