The Journal of Intelligent Information Systems aims to promote and showcase research and development results focused on the integration of artificial intelligence and database technologies to create the next generation of information systems—intelligent information systems. These new information systems embody knowledge, enabling them to exhibit intelligent behavior, collaborate with users and other systems to solve problems, discover, access, retrieve, and manipulate various multimedia data and knowledge, and reason under uncertainty. Knowledge-driven reasoning processes are increasingly used for discovering knowledge from large datasets, providing collaborative support for users in complex query formulation and refinement, accessing, retrieving, storing, and managing vast amounts of multimedia data and knowledge, integrating information from multiple heterogeneous data and knowledge sources, and reasoning under uncertain conditions. Multimedia and hypermedia information systems now operate globally via the internet, necessitating new tools and techniques to manage these dynamic and evolving information spaces. The Journal of Intelligent Information Systems provides a forum for scholars, researchers, and practitioners to publish high-quality, original, and cutting-edge papers that describe the theoretical aspects, system architecture, analytical and design tools and techniques, and implementation experiences of intelligent information systems. The types of papers published in JIIS include research papers, invited papers, conference and workshop announcements and reports, survey and tutorial articles, and book reviews. Short papers describing open problems or their solutions are also welcome.