Databases for criminal intelligence analysis: Knowledge representation issues [Book Review]

AI and Society 11 (1-2):18-35 (1997)
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Abstract

Criminal intelligence data poses problems for conventional database technology. It has little structure or homogeneity and queries may involve looking for unknown associations between entities; such open-ended queries cannot be made in current systems. Finally, the data must be presented in an intuitively simple fashion for both investigative and evidential purposes. We discuss a database system which uses a labelled graph as its data model. This approach obviates the need for schema design, allows queries which look for associations between entities to be implemented and provides the basis for a natural visual representation of the data

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