An overview of attributes characterization for interoperability assessment from the public administration perspective

José Marcelo Cestari (1) , Eduardo Rocha Loures (1) , Eduardo Santos (1) , Yongxin Liao (1) , Hervé Panetto (2) , Mario Lezoche (2)

1 PPGEPS - Graduate Program in Production Engineering and System
2 CRAN - Centre de Recherche en Automatique de Nancy

The government interoperability frameworks (GIFs) are mainly cen-tered on technical perspective neglecting important actual issues in Public Ad-ministration (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 pa-per proposes a knowledge discovering and extraction method from PA and IA literature, presenting a rationality through a conceptual model in order to identi-fy and organize attributes that will be used as input for an IA model. A prelimi-nary 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 evalu-ate them with experts through a specific structure suited to the IA process itself.

Mots clés: Attributes Ex-traction; e-Government; Public Administration; Interoperability Assessment

Domaines: Ingénierie assistée par ordinateur

José Marcelo Cestari, Eduardo Rocha Loures, Eduardo Santos, Yongxin Liao, Hervé Panetto, et al.. An overview of attributes characterization for interoperability assessment from the public administration perspective. Third Workshop on Industrial and Business Applications of Semantic Technologies and Knowledge-based information systems, INBAST 2014, Oct 2014, Amantea, Italy. pp.329-338, ⟨10.1007/978-3-662-45550-0_33⟩. ⟨hal-01074447⟩