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Databases for criminal intelligence analysis: Knowledge representation issues

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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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  1. Department of Information Systems and Computing, Brunel University, UB8 3PH, Uxbridge, Middlesex, UK

    Robert Ayres

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  1. Robert Ayres
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Correspondence to Robert Ayres.

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Ayres, R. Databases for criminal intelligence analysis: Knowledge representation issues. AI & Soc 11, 18–35 (1997). https://doi.org/10.1007/BF02812436

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