Developing a One-Stop Government Data Model
Détails
ID Serval
serval:BIB_23C6CB90A5AD
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Developing a One-Stop Government Data Model
Périodique
Government Information Quarterly
ISSN
0740-624X
Statut éditorial
Publié
Date de publication
2004
Volume
21
Numéro
2
Pages
156-169
Langue
anglais
Résumé
In previous research work, the author and colleagues defined a conceptual model of a one-stop public administration and created a prototype to illustrate it. In parallel, we participated in a European research project that developed an integrated e-government platform. To be successful, a project consortium created a governmental markup language (GovML) that described public services and life events in XML format. It also defined metadata schemas in resource description framework (RDF) for searching, locating, and retrieving governmental digital resources. In combination, the research and the results of the consortium efforts served to develop a data model for one-stop government. In this paper, we explain how we extended our conceptual model to support GovML and RDF and how we were able to model administrative services at the data and metadata levels.
Mots-clé
E-government, Electronic services, Process model, Data model, Knowledge management, Markup language
Création de la notice
11/06/2014 13:19
Dernière modification de la notice
21/08/2019 5:16