Discovering latent connections between seemingly un-connected documents and constructing “stories ” from scattered pieces of evidence are staple tasks in intelli-gence analysis. We have worked with government in-telligence analysts to understand the strategies they use to make connections. Beyond techniques like cluster-ing that aim to provide an initial broad summary of large document collections, an important goal of an-alysts in this domain is to assimilate and synthesize fine grained information from a smaller set of foraged documents. Further, analysts ’ domain expertise is cru-cial because it provides rich contextual background for making connections and thus the goal of KDD is to augment human discovery capabilities, not supplant it....
Understanding multiple types of data source and correlating them make intelligence analysis a challe...
In this poster, we propose Story Explorer, a visual analytic system for text data from multiple sour...
Creation of summaries of events of interest from multitude of unstructured data is a challenging tas...
Abstract — As analysts attempt to make sense of a collection of documents, such as intelligence anal...
Intelligence analysts grapple with many challenges, chief among them is the need for software suppor...
When intelligence analysts are required to understand a complex uncertain situation, one of the tech...
Intelligence analysts today are faced with many challenges, chief among them being the need to fuse ...
In this paper we discuss various aspects in intelligence analysis relating to provenance and the new...
In this paper we illustrate how novel AI methods can improve the performance of intelligence analyst...
Abstract—Software tools that make it easier for analysts to collaborate as a natural part of their w...
In this paper we illustrate how novel AI methods can improve the performance of intelligence analyst...
The Advanced Research and Development Activity initiated the Novel Intelligence from Massive Data (N...
The aim of intelligence analysis is to make sense of information that is often conflicting or incomp...
Scientists should not play a role in investigations nor should investigators play a role in the scie...
The aim of intelligence analysis is to make sense of information that is often conflicting or incomp...
Understanding multiple types of data source and correlating them make intelligence analysis a challe...
In this poster, we propose Story Explorer, a visual analytic system for text data from multiple sour...
Creation of summaries of events of interest from multitude of unstructured data is a challenging tas...
Abstract — As analysts attempt to make sense of a collection of documents, such as intelligence anal...
Intelligence analysts grapple with many challenges, chief among them is the need for software suppor...
When intelligence analysts are required to understand a complex uncertain situation, one of the tech...
Intelligence analysts today are faced with many challenges, chief among them being the need to fuse ...
In this paper we discuss various aspects in intelligence analysis relating to provenance and the new...
In this paper we illustrate how novel AI methods can improve the performance of intelligence analyst...
Abstract—Software tools that make it easier for analysts to collaborate as a natural part of their w...
In this paper we illustrate how novel AI methods can improve the performance of intelligence analyst...
The Advanced Research and Development Activity initiated the Novel Intelligence from Massive Data (N...
The aim of intelligence analysis is to make sense of information that is often conflicting or incomp...
Scientists should not play a role in investigations nor should investigators play a role in the scie...
The aim of intelligence analysis is to make sense of information that is often conflicting or incomp...
Understanding multiple types of data source and correlating them make intelligence analysis a challe...
In this poster, we propose Story Explorer, a visual analytic system for text data from multiple sour...
Creation of summaries of events of interest from multitude of unstructured data is a challenging tas...