Abstract
Situation assessment is a significant process for Situation Awareness (SAW) improvement since this process can be degraded if obtained by means of low quality data, which undermines the decision-making process. Identification of situations in military systems is of utmost importance since the information acquired is used in order to answer emergency calls in which poor understanding of situations for further resources allocation to answer it impacts on the victims involved. In order to assist the first level of SAW formation in the context of military situation assessment of robbery, the present work aims to present a methodology to provide support to the development of military decision-making systems addressed to represent and evaluate data quality. Such methodology is composed by gathering requirements for the robbery domain, the establishment of quantitative metrics for quality evaluation such as completeness and timeliness, the development of an ontology to capture and represent the semantic knowledge and the enforcement of evaluation functions according to scores set by means of quality metrics. Finally, it will be addressed a case study in response to robbery reports to illustrate the applicability of the methodology.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
O’Brien, J.: Sistemas de Informação e as Decisões Gerenciais na Era da Internet, 2nd edn. São Paulo: Saraiva, vol. 2, p. 431 (2004)
Wang, R., Strong, D.: Beyond accuracy: What data quality means to data consumers. Journal of Management Information Systems, 5–33 (1996)
Yang, W., Strong, D.M., Kahn, B.K., Wang, R.Y.: AIMQ: a methodology for information quality assessment. Information & Management, 133–146 (2002)
Bobrowski, M., Marre, M., Yankelevich, D.: A Homogeneous Framework to Measure Data Quality. In: Fourth Conference on Information Quality, pp. 115–124 (1999)
Kim, W., Lee, S., Kim, Y., Choi, H.: Evaluating the Data Quality and the Uncertainty in Electroencephalogram Signals for a Neuromarketing Service which Computes Attentional Engagement, pp. 62–66 (2014)
De Amicis, F., Batini, C.: A Methodology for Data Quality Assessment on Financial Data. Studies in Communication Sciences, 1–12 (2004)
Matheus, C.J., Kokar, M.M., Baclawski, K.: A core ontology for situation awareness. In: Proceedings of the 6th International Conference on Information Fusion, FUSION 2003, vol. 1, pp. 545–552. IEEE Computer Society (2003)
Laudon, K.C.: Data quality and due process in large interorganizational record systems. Communications of the ACM (1986)
Bureau of Justice Statistics, U. S. Assessing completeness and accuracy of criminal history record systems: audit guide. Boureal of Justice Statistics. U.S. Deptartment. of Justice, Office of Justice Programs, Indiana, 65 (1992)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Souza, J., Botega, L., Segundo, J.E.S., Berti, C. (2015). User-Driven Methodology for Data Quality Assessment in the Context of Robbery Events. In: Rocha, A., Correia, A., Costanzo, S., Reis, L. (eds) New Contributions in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-319-16486-1_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-16486-1_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16485-4
Online ISBN: 978-3-319-16486-1
eBook Packages: Computer ScienceComputer Science (R0)