Abstract
In this paper we present the concepts and implementation of a data space system for the management of data from heterogeneous sources in the criminal justice field. Our system exploits domain knowledge in the field of justice to streamline and to relate the content of different databases in the chain. In our system, domain knowledge is encoded in a space manager layer. Furthermore, in this layer it is decided which databases should be used to answer a query. This decision is taken on the basis of the encoded domain knowledge, and the content of the databases and its quality.
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References
Sheth, A.P., Larson, J.A.: Federated database systems for managing distributed, heterogeneous, and autonomous databases. ACM Computing Surveys 22(3), 183–236 (1990)
Cabibbo, L., Torlone, R.: Integrating heterogeneous multidimensional databases. In: Frew, J. (ed.) 17th International Conference on Scientific and Statistical Database Management, pp. 205–214. Lawrence Berkeley Laboratory, Berkeley (2005)
Winkler, W.E.: Matching and record linkage. In: Cox, B.G., Binder, D.A., Chinnappa, B.N. (eds.) Business Survey Methods, pp. 355–384. Wiley, New York (1995)
Wilkins, D., Pillaipakkamnatt, K.: The effectiveness of machine learning techniques for predicting time to case disposition. In: 6th International Conference on Artificial Intelligence and Law, pp. 106–113. ACM, New York (1997)
van den Braak, S., Choenni, S., Verwer, S.: Combining and Analyzing Judicial Databases. In: Custers, B., Calders, T., Schermer, B., Zarsky, T. (eds.) Discrimination & Privacy in the Information Society. SAPERE, vol. 3, pp. 191–206. Springer, Heidelberg (2013)
Kalidien, S.N., Choenni, R., Meijer, R.F.: Crime statistics online: potentials and challenges. In: 11th Annual International Digital Government Research Conference on Public Administration Online: Challenges and Opportunities (dg.o 2010), pp. 131–137. Digital Government Society of North America (2010)
Choenni, S., van Dijk, J., Leeuw, F.: Preserving privacy whilst integrating data: Applied to criminal justice. Information Polity 15(1,2), 125–138 (2010)
Franklin, M., Halevy, A., Maier, D.: From databases to dataspaces, a new abstraction for information management. SIGMOD Record 34(4), 27–33 (2005)
Hedeler, C., Belhajjame, K., Fernandes, A.A.A., Embury, S.M., Paton, N.W.: Dimensions of dataspaces. In: Sexton, A.P. (ed.) BNCOD 2009. LNCS, vol. 5588, pp. 55–66. Springer, Heidelberg (2009)
Hedeler, C., Fernandes, A.A.A., Belhajjame, K., Mao, L., Guo, C., Paton, N.W., Embury, S.M.: A functional model for dataspace management systems. In: Catania, B., Jain, L.C. (eds.) Advanced Query Processing. ISRL, vol. 36, pp. 305–341. Springer, Heidelberg (2012)
Blunschi, L., Dittrich, J.P., Girard, O.R., Karakashian, S.K., Salles, M.A.V.: A dataspace odyssey: The iMeMex personal dataspace management system. In: Proceedings of the Conference on Innovative Data Systems Research (CIDR), pp. 114–119 (2007)
Dong, X., Halevy, A.Y.: A platform for personal information management and integration. In: CIDR, pp. 119–130 (2005)
Das Sarma, A., Dong, X., Halevy, A.: Bootstrapping pay-as-you-go data integration systems. In: SIGMOD, pp. 861–874 (2008)
Madhavan, J., Cohen, S., Dong, X.L., Halevy, A.Y., Jeffery, S.R., Ko, D., Yu, C.: Web-scale data integration: You can afford to pay as you go. In: CIDR, pp. 342–350 (2007)
Leser, U., Naumann, F.: (Almost) hands-off information integration for the life sciences. In: CIDR, pp. 131–143 (2005)
Agarwal, S., Keller, A.M., Wiederhold, G., Saraswat, K.: Flexible Relation: An approach for integrating data from multiple, possibly inconsistent databases. In: 11th International Conference on Data Engineering, pp. 495–504. Stanford Univ., CA (1995)
Choenni, S., Blanken, H., Chang, T.: On the Selection of Secondary Indices in Relational Databases. Data & Knowledge Engineering 11(3), 207–233 (1995)
Berti-Équille, L.: Quality Awareness for Managing and Mining Data. Habilitation à diriger des recherches. L’Université de Rennes, France (2007)
Pipino, L.L., Lee, Y.W., Wang, R.Y.: Data quality assessment. Communications of the ACM - Supporting Community and Building Social Capital 45(4), 211–218 (2002)
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van Dijk, J., Choenni, S., Leertouwer, E., Spruit, M., Brinkkemper, S. (2013). A Data Space System for the Criminal Justice Chain. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2013 Conferences. OTM 2013. Lecture Notes in Computer Science, vol 8185. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41030-7_55
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DOI: https://doi.org/10.1007/978-3-642-41030-7_55
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