面向更高层次融合的智能系统技术

C. Anken, N. Gemelli, P. LaMonica, R. Mineo, J. Spina
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引用次数: 6

摘要

本文的前提是信息提取技术、知识库和自然语言处理技术的结合可以通过提供更高层次的融合能力来支持情报分析人员的决策过程。本文考察了由空军研究实验室信息理事会研究的项目和从这些项目发展而来的工具。这些项目包括DARPA赞助的高性能知识库(HPKB)、快速知识形成(RKF)和证据提取和链接发现(EELD)。这些工具包括CYC知识库、IMPACT (Intelligent Mining Platform for Analysis of counterterrorism)和START自然语言查询系统。通过利用和利用每个系统的优势,我们相信高水平的信息融合是可能的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent systems technology for higher level fusion
The premise of this paper is that a combination of information extraction techniques, knowledge bases and natural language processing technology can assist the intelligence analyst by providing higher level fusion capabilities to support the decision making process. The paper examines programs and the tools that have evolved from these programs being researched by the Air Force Research Laboratory's Information Directorate. These programs include DARPA sponsored High Performance Knowledge Bases (HPKB), Rapid Knowledge Formation (RKF) and Evidence Extraction and Link Discovery (EELD). Some of the tools include the CYC knowledge base, Intelligent Mining Platform for the Analysis of Counter Terrorism (IMPACT) and the START natural language query system. By exploiting and leveraging the strengths of each system, we believe that a high level of information fusion is possible.
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