Korger, AndreasBaumeister, JoachimHeisig, PeterOrth, RonaldSchönborn, Jakob MichaelThalmann, Stefan2020-10-052020-10-052020978-3-88579-607-8https://dl.gi.de/handle/20.500.12116/34390In previous efforts graph-based and textual knowledge representations were combined for the usage in case-based reasoning. This work proposes first steps for this combination in the domain of secu- rity documents and similar document classes. We present an approach pre-processing documents for textual case-based reasoning by adapting methods of natural language processing. We propose a method improving a case-based hierarchical similarity assessment for retrieval by introducing the concept of vector space embeddings and semantic relatedness of words and phrases.enCase-based reasoning · Textual similarity · Textual case- based reasoning · Vector space embeddings · Semantic relatedness · Graph- based knowledgeText/Conference Paper1617-5468