To provide a forum for identifying important contributions and opportunities for research on case-based reasoning promote the systematic study of how to apply case-base reasoning. Topics of interest include (but are not limited to): CBR for signals, images, video, audio and text Similarity assessment, Similarity Measures, Categorization of Similarity Measures Case representation and case mining Retrieval and indexing Conversational CBR Meta-learning for model improvement and parameter setting for processing with CBR Incremental model improvement by CBR Case base maintenance for systems Case authoring Life-time of a CBR system Measuring coverage of case bases Ontology learning with CBR