ITR: Unapparent Information Revelation - Creation, Visualization and Mining of Concept Chain Graphs

在由多个作者在不同时间独立工作生成的文档集合中隐藏着潜在的有价值的信息。这些信息并不明确，但可以通过一系列概念和联想推断出来。在网上冲浪的用户可能需要被监视，目的是获得他们真正的信息需求，这可能是出于恶意的动机。意外信息披露（UIR）问题是文本挖掘的一个特殊情况，其中文档表示用户感兴趣的一些预先选择的子集，这些子集是通过有目的的查询或浏览生成的。目标是量化这个子集所揭示的信息，并检测重要的概念链和关联。这项工作的重点是开发一个UIR框架和工具包，涵盖以下领域：(i)概念链图（CCG）的概率框架：一种有利于文本挖掘的新信息表示；（ii）在信息提取中使用预先存在的本体和机器学习技术，从代表性文档集合自动构建ccg；（iii）发现工具，用于量化CCG中已显示和隐藏的信息，以及CCG中信息丰富的路径，以及（iv） CCG的交互式可视化工具。这个新框架比现有的信息检索（IR）表示更有利于信息的可视化和分析。该项目将影响几个应用，最显著的是国土防御应用。UIR工具包有可能暴露非机密网站上可用的敏感信息。它还可以用来确定该信息的传播是否无害或安全。从科学文献中发现的应用程序也被启用。

There are potentially valuable nuggets of information hidden in document collections generated by multiple authors, working independently at various times. Such information is not explicit, but can be inferred by following chains of concepts and associations. Users surfing the web may need to be monitored with the goal of deriving their true information need, which could be motivated by malicious intent. The problem of unintended information revelation (UIR) is a special case of text mining where the documents represent some pre-selected subset of interest to a user, generated through purposeful querying or surfing. The goal is to quantify the information revealed by this subset and to detect significant chains of concepts and associations. This effort focuses on the development of a UIR framework and toolkit that covers the following areas: (i) probabilistic frameworks for concept chain graphs (CCG): a new information representation conducive to text mining; (ii) automatic construction of CCGs from representative document collections using pre-existing ontologies and machine learning techniques in information extraction; (iii) discovery tools that quantify information revealed and reveal hidden, information rich paths within the CCG, and (iv) interactive visualization tools for the CCG. This new framework facilitates better visualization and analysis of information than existing information retrieval (IR) representations. This project should impact several applications, most notably homeland defense applications. The UIR toolkit has the potential to expose sensitive information available on unclassified websites. It can also be used to ascertain whether that information is benign or safe to disseminate. Applications in discovery from scientific documents are also enabled.