Abstract: Knowledge Management Needs of the Complex Operations Community

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The HSCB modeling community faces broad challenges in the area of knowledge integration, including data and metadata management, representing knowledge of social science factors (DIME/PMESII) within tools, selecting consistent theories and models that are situationally applicable, and defining a shared ontology to accelerate research and facilitate development transition. This effort seeks to address these challenges by developing a Hybrid Knowledge Framework that supports the integration of quantitative data, qualitative facts and relationships, reference knowledge, and expert knowledge. An “answers engine” front-end allows the user to pose questions and receive fact-based answers in a structured way, based on a federated query over the diverse knowledge sources available to the engine. We use a semantic wiki interface for knowledge elicitation from the Complex Operations community that allows the easy addition of facts driven by an underlying ontology. Our framework allows practitioners, analytic users, and subject matter experts to capture key analytic facts derived from models, such as a means to express statistically significant correlations based on a quantitative study or to express influential factors based on a qualitative model. Harnessing this knowledge is essential for diagnosing instability and designing measures of effectiveness and campaigns for mitigation, in particular, utilizing our CKM Hybrid Reasoning framework to develop an application that uses course-of-action models to plan and evaluate campaign designs.

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