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Publication in BibTeX Format

@UNPUBLISHED{AICPub931:2003, AUTHOR={Wolverton, M. and Berry, P. and Harrison, I. and Lowrance, J. and Morley, D. and Rodriguez, A. and Ruspini, E. and Thomere, J.}, TITLE={LAW: A Workbench for Approximate Pattern Matching in Relational Data}, YEAR={2003}, ABSTRACT={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. }, NOTE={in The Fifteenth Innovative Applications of Artificial Intelligence Conference (IAAI-03)} }

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