Titlebook: Case-Based Reasoning Research and Development; 26th International C Michael T. Cox,Peter Funk,Shahina Begum Conference proceedings 2018 Spr

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A Textual Recommender System for Clinical Dataevant cases, however, is a hard and time-consuming task: Hospital databases of free-text physician letters provide a rich resource of information but are usually only searchable with string-matching methods. Here, we present a recommender system that automatically finds physician letters similar to

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Case Base Elicitation for a Context-Aware Recommender Systemoblems it must be provided with an initial case base covering the problem space with a sufficient number of representative seed cases with solutions that are known to be correct. We use a CBR module to recommend leisure plans in Madrid based on user preferences and contextual information. This paper

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The SECCO Ontology for the Retrieval and Generation of Security Conceptsents. The definition and writing of a security concept demands domain knowledge and experience. This paper describes an approach for the automated retrieval and generation of security concept templates based on reliable examples. We use ontologies for the conceptualization of textual security concep

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Adaptive Goal Driven Autonomyf increasing interest due in part to the need to ensure that autonomous agents behave as intended. However, to perform well, comprehensive GDA agents require substantial domain knowledge. In this paper I focus on our work to automatically learn knowledge used by GDA agents. I also discuss future research directions.