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Distributed Information Gathering, Exploration and Sense-making Toolkit (DIGEST)

机译:分布式信息收集,探索和感知工具包(DIGEST)

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This paper describes a semantic toolkit for extracting information from multiple text and social media sources, and fusing the information so as to facilitate enhanced situational awareness and decision making. This innovative new capability assists information analysts to rapidly reason social media data to support enhanced situational awareness while significantly reducing the time and effort needed to convert data to action-enabling information The semantic toolkit (DIGEST) provides the following capabilities: (1) rapid-sensing of multi-source text data to extract actionable knowledge - including emerging themes, trends and patterns in sentiments, social-influence and information flow structures; (2) exploratory data analytics and knowledge discovery methods to support collaborative information analysis - including social network analysis and event extraction and analysis; and (3) using the stored results from the exploratory information analyses to generate a variety of knowledge products.
机译:本文介绍了用于从多个文本和社交媒体源中提取信息的语义工具包,并融合信息,以便于提高态势意识和决策。这种创新的新能力有助于信息分析师快速理解社交媒体数据,以支持增强的情境感知,同时大大减少将数据转换为启用信息所需的时间和精力,可以通过语义工具包(Digest)提供以下功能:(1)快速 - 感应多源文本数据,以提取可操作知识 - 包括情绪的新兴主题,趋势和模式,社会影响和信息流结构; (2)支持协作信息分析的探索性数据分析和知识发现方法 - 包括社会网络分析和事件提取和分析; (3)使用存储的结果来自探索信息分析以产生各种知识产品。

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