Information Modelling And Knowledge Bases
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Information Modelling and Knowledge Bases III
Papers direct the focus of interest to the development and use of conceptual models in information systems of various kinds and aim at improving awareness about general or specific problems and solutions in conceptual modelling.
Information Modelling and Knowledge Bases XXXII
Information modeling and knowledge bases are important technologies for academic and industrial research that goes beyond the traditional borders of information systems and computer science. The amount and complexity of information to be dealt with grows continually, as do the levels of abstraction and the size of databases. This book presents the proceedings of the 30th International Conference on Information Modelling and Knowledge Bases (EJC2020), due to be held in Hamburg, Germany on 8 and 9 June 2020, but instead held as a virtual conference on the same dates due to the Corona-virus pandemic restrictions. The conference provides a research forum for the exchange of scientific results and experiences, and brings together experts from different areas of computer science and other disciplines with a common interest in information modeling and knowledge bases. The subject touches on many disciplines, with philosophy and logic, cognitive science, knowledge management, linguistics and management science, as well as the emerging fields of data science and machine learning, all being relevant areas. The 23 reviewed, selected, and upgraded contributions included here are the result of presentations, comments, and discussions from the conference, and reflect the themes of the conference sessions: learning and linguistics; systems and processes; data and knowledge representation; models and interfaces; formalizations and reasoning; models and modeling; machine learning; models and programming; environment and predictions; modeling emotion; and social networks. The book provides an overview of current research and applications, and will be of interest to all those working in the field.
Information Modelling and Knowledge Bases XVII
The number of abstraction levels of information, the size of databases and knowledge bases and the amount and complexity of information stored in WWW are continuously growing. The aim of this series of Information Modelling and Knowledge Bases is to bring together experts from different areas who have a common interest in understanding and solving problems of information modelling and knowledge bases, as well as applying the results of research into practice. We aim at recognizing and pursuing research on new topics in the area of information modelling and knowledge bases, but also in connected areas in philosophy and logic, cognitive science, knowledge management, linguistics, multimedia, theory and practice of semantic web, software engineering and business management. The papers in this book present a valuable advancement in the area of information modelling and knowledge bases research and practice.