Using Concept Maps to More Efficiently Create Intelligence Information Models

Christopher E Coryell

Using Concept Maps to More Efficiently Create Intelligence Information Models
Format
Paperback
Publisher
Biblioscholar
Country
Published
16 November 2012
Pages
66
ISBN
9781288307227

Using Concept Maps to More Efficiently Create Intelligence Information Models

Christopher E Coryell

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Information models are a critical tool for U.S. intelligence agencies to allow their customers to quickly and accurately comprehend their products. The Knowledge Pre-positioning System (KPS) is the standard repository for information models at the National Air and Space Intelligence Center (NASIC). The current approach used by NASIC to build a KPS information model is laborious and costly. Intelligence analysts design an information model using a manual, butcher-paper-based process. The output of their work is then entered into KPS by either a single NASIC KPS database modeler or a contractor (at a cost of roughly $100K to the organization). This thesis proposes a tool-supported approach to allow intelligence analysts to create KPS information models with almost no database modeler or contractor support. Our approach allows analysts to express an information model as a concept map, an analyst-understandable model of an intelligence domain. An existing tool, CmapTools [6], supports the analyst-in-the-loop process of concept map creation. A completed concept map is automatically converted into KPS by a prototype tool, called Cmap Conversion for KPS, created as part of this work. We restrict, to a reasonable degree, how analysts express concept maps within CmapTools to ensure that automatic conversion into KPS is possible. We validated our approach using a representative NASIC-provided KPS infor- mation model: performance of fixed-wing aircraft. Using our tools, a new information model was constructed in 4 hours and 20 minutes, a 89% improvement over the 40 hours estimated by NASIC to complete the same task using their existing approach. For this representative information model, NASIC estimates our approach would save them roughly $200K.

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