Ian W. Harrison

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Pattern matching for intelligence organizations is a challenging problem. The data sets are large and noisy, and there is a flexible and constantly changing notion of what constitutes a match. We are developing the Link Analysis Workbench (LAW) to assist an expert user in the intelligence community in creating and maintaining patterns, matching those(More)
An important role of intelligence organizations is to be able to identify and predict threats within a vast quantity of imprecise and noisy information. We describe the concept and function of our pattern-matching architecture, LAW (Link Analysis Workbench). This system is based upon two main ideas. The first idea is that both the data and the threats can(More)
To meet the intelligence community's need for link analysis tools that work together, researchers are currently investigating ways of building workflows of these tools using an intelligent system architecture. A key challenge in building a dynamic link analysis workflow environment is representing the behavior of the individual link analysis algorithms(More)
Managing and analyzing information remains an enduring and essential challenge for intelligence professionals. Link analysis tools are beginning to be adopted in the intelligence community as part of the community's analysis toolset. However, since a wide variety of types of analyses is possible, even within just the link analysis field, no one tool is(More)
Intelligence professionals work with incomplete and noisy data. Their information needs are often hard to express, and almost impossible to get right the first time. This paper describes the GEM pattern language for encoding analysts' information needs in graphical patterns, and its use in the Link Analysis Workbench (LAW) system to find inexact matches to(More)
As AI developers increasingly look to workflow technologies to perform complex integrations of individual software components, there is a growing need for the workflow systems to have expressive descriptions of those components. They must know more than just the types of a component's inputs and outputs; instead, they need detailed characterizations that(More)
Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing this collection of information. Send comments regarding this burden estimate or any other aspect of(More)