Information Modeling and Knowledge Bases have become important contributors to technology for academic and industrial research in the 21st century. They address the complexities of modeling in digital transformation and digital innovation, reaching beyond the traditional borders of information systems and academic computer-science research.
The amount and complexity of information itself, the number of abstraction levels of information, and the size of databases and knowledge bases are continually growing, as is the diversity of data sources, from combined data from traditional legacy sources to stream-based, unstructured data requiring backwards modeling. Conceptual modeling is one of the sub-areas of information modeling. The aim of this conference is to bring together experts from different areas of computer science and other disciplines who have a common interest in understanding and solving the problems of information modeling and knowledge bases and applying the results of research to practice. We also aim to recognize and study the new areas of modeling and knowledge bases to which more attention should be paid; this means that philosophy and logic, cognitive science, knowledge management, linguistics, and management science, as well as machine learning and AI, are also relevant areas.
There will be three categories of presentations at the conference: full papers, short papers, and position papers. The international conference on information modeling and knowledge bases originated in 1982 as the European Japanese conference (EJC); a co-operation between Japan and Finland. That is when Professor Ohsuga in Japan and Professors Hannu Kangassalo and Hannu Jaakkola from Finland did the pioneering work to bring about this long tradition of academic collaboration. Over the years, the conference has gradually expanded to include European and Asian countries, and has gradually spread to other countries through networks of previous participants. With this expanded geographical scope, the European/Japanese part of the title was replaced by International in 2014. The characteristics of the conference include opening with a keynote session, followed by presentation sessions, and leaving enough time for discussions. A limited number of participants is also typical for this conference.
The 32nd International conference on Information Modeling and Knowledge Bases (EJC 2022), held in Hamburg, Germany, constitutes a research forum drawing together those academics and practitioners dealing with information and knowledge for the exchange of scientific results and experiences. The main topics of EJC 2022 cover a wide range of themes, extending knowledge discovery through conceptual modeling, knowledge and information modeling and discovery, linguistic modeling, cross-cultural communication and social computing, environmental modeling and engineering, and multimedia data modeling and systems. The conference has always been open to new topics related to its main themes. In this way, the content emphasis of the conferences has been able to adapt to the changes taking place in the research field.
The 32nd International Conference of Information Modeling and Knowledge Bases – EJC 2022 was hosted by the Department of Computer Science of the University of Applied Sciences Hamburg, Germany. Due to regulations and restrictions caused by Corona virus, the conference was held as a hybrid event this year from May 30th – June 3rd 2022. The contributions in this proceeding feature 19 reviewed, selected, and upgraded contributions that are the result of presentations, comments, and discussions during the conference. We thank all colleagues for their support in making this conference successful, especially the program committee, organization committee, and the program coordination team, in particular, Professor Naofumi Yoshida, who maintains the paper submission and reviewing systems and who compiled the content for this book.