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Intelligence Reach for Expertise (IREx)

机译:专业知识(IREX)的情报覆盖

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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是下一代分析师找合作者的搜索引擎。内部和操作的区域外合作,但要找到一个给定任务的最佳合作者美国陆军野战手册2.0(情报)调用可以挑战。 iRex公司将被证明是在以英尺​​E15实地演习可操作的智能技术使能能力验证(AI-TECD)的一部分。迪克斯在2015年7月,包括任务模型描述任务及其必备能力,加上个人维护自己的能力和其他相关数据的用户模型(即,用户配置文件)。这些模型使用本体的规范套件,作为这些模型为基础,这使得强大的查询,也保留了模型逻辑一致。 IREX还支持学习的验证,其中谁已完成课程模块可以搜索并找到合适的任务,以实践和展示他们的新知识可以在现实世界中使用其预期目的的学习者。的IREX模型是在过程的初始阶段,开发它们作为IEEE标准。这一举措目前批准的IEEE研究小组,之后跟随一个标准工作组,然后投票组,如果一切顺利的话,一个IEEE标准。

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