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Authors: Gavina Baralla ; Katiuscia Mannaro and Michele Marchesi

Affiliation: University of Cagliari, Italy

ISBN: 978-989-758-273-8

Keyword(s): Taxonomy, Mobile Applications, Knowledge Sharing, e-Government, Public Administration.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Communication, Collaboration and Information Sharing ; e-Business ; Enterprise Information Systems ; Government ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Society, e-Business and e-Government ; Symbolic Systems ; Tools and Technology for Knowledge Management ; Web Information Systems and Technologies

Abstract: During the last years, the number of applications for mobile devices have greatly increased, as well as the number of developed services. Taxonomies provide an important tool to classify and help to understand this complex domain, describing it in a simpler way. This paper presents a taxonomy of services for a new class type of mobile applications that we called Mobile Public Utility, MPU. We contribute to research by providing a first classification scheme to the scenario of MPU App usage by depicting his special nature because not only this mobile application enables citizen to have a dialog with local authorities about environment safety or security, but also it improves trust through better interaction with Public Administrations and it enhances the decision-making process by local governments.

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Paper citation in several formats:
Baralla, G.; Mannaro, K. and Marchesi, M. (2017). A Proposed Taxonomy of Mobile Public Utility Applications.In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS, ISBN 978-989-758-273-8, pages 241-246. DOI: 10.5220/0006583902410246

@conference{kmis17,
author={Gavina Baralla. and Katiuscia Mannaro. and Michele Marchesi.},
title={A Proposed Taxonomy of Mobile Public Utility Applications},
booktitle={Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS,},
year={2017},
pages={241-246},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006583902410246},
isbn={978-989-758-273-8},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS,
TI - A Proposed Taxonomy of Mobile Public Utility Applications
SN - 978-989-758-273-8
AU - Baralla, G.
AU - Mannaro, K.
AU - Marchesi, M.
PY - 2017
SP - 241
EP - 246
DO - 10.5220/0006583902410246

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