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Intelligence Reach for Expertise (IREx)

机译:专门知识(IREx)

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摘要

IREx is a search engine for next-generation analysts to find collaborators. U.S. Army Field Manual 2.0 (Intelligence) calls for collaboration within and outside the area of operations, but finding the best collaborator for a given task can be challenging. IREx will be demonstrated as part of Actionable Intelligence Technology Enabled Capability Demonstration (AI-TECD) at the E15 field exercises at Ft. Dix in July 2015. It includes a Task Model for describing a task and its prerequisite competencies, plus a User Model (i.e., a user profile) for individuals to assert their capabilities and other relevant data. These models use a canonical suite of ontologies as a foundation for these models, which enables robust queries and also keeps the models logically consistent. IREx also supports learning validation, where a learner who has completed a course module can search and find a suitable task to practice and demonstrate that their new knowledge can be used in the real world for its intended purpose. The IREx models are in the initial phase of a process to develop them as an IEEE standard. This initiative is currently an approved IEEE Study Group, after which follows a standards working group, then a balloting group, and if all goes well, an IEEE standard.
机译:IREx是下一代分析人员寻找合作者的搜索引擎。美国陆军野战手册2.0(Intelligence)要求在行动领域内外进行协作,但是要找到针对特定任务的最佳协作者可能会面临挑战。 IREx将在Ft的E15实地演习中作为“可操作的情报技术使能演示”(AI-TECD)的一部分进行演示。 Dix于2015年7月发布。它包括用于描述任务及其先决条件的任务模型,以及用于个人维护其能力和其他相关数据的用户模型(即用户个人资料)。这些模型使用规范的本体套件作为这些模型的基础,从而可以进行健壮的查询并在逻辑上保持模型的一致性。 IREx还支持学习验证,已完成课程模块的学习者可以在其中搜索并找到合适的任务来进行练习,并证明他们的新知识可以在现实世界中用于预期目的。 IREx模型处于将其开发为IEEE标准的过程的初始阶段。该计划目前是经过批准的IEEE研究小组,此后遵循一个标准工作小组,然后是一个投票小组,如果一切顺利,则遵循IEEE标准。

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