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的文档集合中隐藏着潜在的有价值的信息。这样的信息不是明确的，但可以通过以下概念和关联链进行推断。用户上网可能需要受到监控，目的是获得他们真正的信息需求，这可能是出于恶意目的。意外信息泄露(UIR)问题是文本挖掘的一种特殊情况，其中文档表示通过有目的的查询或浏览而产生的用户感兴趣的某个预先选择的子集。目标是量化这个子集揭示的信息，并检测重要的概念链和关联链。这项工作的重点是开发涵盖以下领域的用户信息检索框架和工具包：(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法；(Ii)利用现有的本体和信息提取中的机器学习技术，从有代表性的文件集合自动构建CCG；(Iii)发现工具，量化所揭示的信息并揭示CCG内隐藏的、信息丰富的路径；以及(Iv)CCG的交互式可视化工具。这个新的框架比现有的信息检索(IR)表示法更有利于信息的可视化和分析。这个项目应该会影响几个应用程序，最明显的是国土防务应用程序。UIR工具包有可能暴露非机密网站上的敏感信息。它还可以用来确定该信息传播是良性的还是安全的。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.