%0 Conference Proceedings
%T Ontology Based Data Management: A Study in a Brazilian Federal Agency
%+ Ministry of Transparency and Comptroller General
%+ Departamento de Ciência da Computação [Brasilia]
%A Takenaka Fujimoto, Márcia, Myuki
%A Dias Canedo, Edna
%Z Part 1: General E-Government and Open Government
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 17th International Conference on Electronic Government (EGOV)
%C Krems, Austria
%Y Peter Parycek
%Y Olivier Glassey
%Y Marijn Janssen
%Y Hans Jochen Scholl
%Y Efthimios Tambouris
%Y Evangelos Kalampokis
%Y Shefali Virkar
%I Springer International Publishing
%3 Electronic Government
%V LNCS-11020
%P 144-154
%8 2018-09-03
%D 2018
%R 10.1007/978-3-319-98690-6_13
%K Data Man-agement
%K Public company
%K Ontology
%K Data integration
%K Data management
%K Information and Communications Technology (ICT)
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X The Ministry of Transparency and Comptroller General is the agency of the Federal Government in charge of assisting the President regarding the treasury and public assets and the government’s transparency policies. The Agency takes care of active transparency mechanisms on federal public resources, that is, improves actions related to information the State must disclose, without being demanded for. It establishes ways of assuring information will be appropriated and effectively used by society, including through web applications for citizens. Thus, the Agency is part of a governmental environment in which the complexity of data management involves improvement of information quality and interoperability between systems, as a consequence the need of a capable model to manage all of its data assets rises up. It’s necessary to organize and implement a data management capability that allows understanding (semantic), finding and sharing data. This article describes a research study directed to data management under ontological approach, which proposes an Enterprise Information Architecture Model in the form of a conceptual layer-based data prototype, taking into account both academic and industry-driven studies.
%G English
%Z TC 8
%Z WG 8.5
%2 https://inria.hal.science/hal-01961528/document
%2 https://inria.hal.science/hal-01961528/file/472235_1_En_13_Chapter.pdf
%L hal-01961528
%U https://inria.hal.science/hal-01961528
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC8
%~ IFIP-EGOV
%~ IFIP-WG8-5
%~ IFIP-LNCS-11020