Our project is aimed at integrating and extending inferential, analogical, and intelligent IR technologies to create power tools for intelligence analysts. Our goal is to discover interesting and powerful functional integrations that permit these technologies to exploit each others ’ strengths to mitigate their weaknesses. From the perspective of knowledge-based AI technology, a key goal of the project is to extend the reach of such systems into the world of unstructured data and text. From the perspective of IR technology, it is to leverage the application of inferential and analogical techniques to structured representations in order to achieve significant new functionality. Background Intelligence analysts must sift through massive amoun...
This paper presents a personal cognitive assistant, called Disciple-LTA, that can acquire expertise ...
Technology has penetrated the social fabric of security practices so deeply that it is often used wi...
Lockheed Martin Corp. has funded research to generate a framework and methodology for deve...
In the tasks facing the armed forces today there is a need for new and improved intelligence analysi...
This book focuses on the definition and implementation of data-driven computational tools supporting...
Intelligence analysts today are faced with many challenges, chief among them being the need to fuse ...
International audienceInformation Retrieval (IR) is a process involving activities related to human ...
This paper presents a comprehensive model for representing and reasoning on situations to support de...
The analysts are in the field of "knowledge". Intelligence refers to knowledge and the types of prob...
Abstract — This paper presents elements of a computational theory of intelligence analysis and its i...
In this paper we illustrate how novel AI methods can improve the performance of intelligence analyst...
In this paper we illustrate how novel AI methods can improve the performance of intelligence analyst...
Intelligence analysis has many important epistemological resemblances with science (problem solving,...
ABSTRACT Analysts across the Intelligence Community (IC), including Department of Defense (DOD) inte...
This paper presents a personal cognitive assistant, called Disciple-LTA, that can acquire expertise ...
Technology has penetrated the social fabric of security practices so deeply that it is often used wi...
Lockheed Martin Corp. has funded research to generate a framework and methodology for deve...
In the tasks facing the armed forces today there is a need for new and improved intelligence analysi...
This book focuses on the definition and implementation of data-driven computational tools supporting...
Intelligence analysts today are faced with many challenges, chief among them being the need to fuse ...
International audienceInformation Retrieval (IR) is a process involving activities related to human ...
This paper presents a comprehensive model for representing and reasoning on situations to support de...
The analysts are in the field of "knowledge". Intelligence refers to knowledge and the types of prob...
Abstract — This paper presents elements of a computational theory of intelligence analysis and its i...
In this paper we illustrate how novel AI methods can improve the performance of intelligence analyst...
In this paper we illustrate how novel AI methods can improve the performance of intelligence analyst...
Intelligence analysis has many important epistemological resemblances with science (problem solving,...
ABSTRACT Analysts across the Intelligence Community (IC), including Department of Defense (DOD) inte...
This paper presents a personal cognitive assistant, called Disciple-LTA, that can acquire expertise ...
Technology has penetrated the social fabric of security practices so deeply that it is often used wi...
Lockheed Martin Corp. has funded research to generate a framework and methodology for deve...