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2003

LAW: A Workbench for Approximate Pattern Matching in Relational Data

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LAW: A Workbench for Approximate Pattern Matching in Relational Data
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 patterns against a large collection of relational data, and manipulating partial results. This paper describes two key facets of the LAW system: (1) a pattern-matching module based on a graph edit distance metric, and (2) a system architecture that supports the integration and tasking of multiple pattern matching modules based on their capabilities and the specific problem at hand.
Michael Wolverton, Pauline Berry, Ian W. Harrison,
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where IAAI
Authors Michael Wolverton, Pauline Berry, Ian W. Harrison, John D. Lowrance, David N. Morley, Andres C. Rodriguez, Enrique H. Ruspini, Jérôme Thoméré
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