Abstract
The government interoperability frameworks (GIFs) are mainly centered on technical perspective neglecting important actual issues in Public Administration (PA) as the performance of their services and process as well its strategic, legal and politic positioning. This wide spectrum of organizational knowledge demands specific interoperability assessment (IA) methods based on a preliminary step of identifying and organizing adequate attributes that allow a wider view on the PA domain regarding interoperability requirements. This paper proposes a knowledge discovering and extraction method from PA and IA literature, presenting a rationality through a conceptual model in order to identify and organize attributes that will be used as input for an IA model. A preliminary set of attributes is presented, as well as a future approach of how to deal with these attributes using AHP (Analytic Hierarchy Process) in order to evaluate them with experts through a specific structure suited to the IA process itself.
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Cestari, J.M.A.P., Loures, E.d.F.R., Santos, E.A.P., Liao, Y., Panetto, H., Lezoche, M. (2014). An Overview of Attributes Characterization for Interoperability Assessment from the Public Administration Perspective. In: Meersman, R., et al. On the Move to Meaningful Internet Systems: OTM 2014 Workshops. OTM 2014. Lecture Notes in Computer Science, vol 8842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45550-0_33
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DOI: https://doi.org/10.1007/978-3-662-45550-0_33
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