Abstract
New information technologies take new possibilities in detecting criminals and investigation of crimes. The paper considers the methods of knowledge representation helpful in the management of repository of criminalistics information system. The development of advisory system in crime investigation domain deals with incomplete and uncertainty information from the broad variety of data sources ensuring many forms of intellectual analysis and situation evaluation methods. New possibilities of knowledge representation are examined for the purposes to prepare the qualitative intelligent systems for crime investigation. The unified approach of integrating different databases and knowledge representation techniques for aiding advisory processes in relevant patterns recognition and crime investigation is proposed.
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Dzemydiene, D., Kazemikaitiene, E., Petrauskas, R. (2002). Knowledge Representation in Advisory Information System of Crime Investigation Domain. In: Haav, HM., Kalja, A. (eds) Databases and Information Systems II. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9978-8_11
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DOI: https://doi.org/10.1007/978-94-015-9978-8_11
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