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International Conference on Geographical Information Systems Theory, Applications and Management

GISTAM 2017: Geographical Information Systems Theory, Applications and Management pp 110–129Cite as

Goal-Oriented Analysis and Design of Land Administration Systems

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 936))

Abstract

Land administration systems involve many complex processes in order to properly manage rights over land, estimate its value, gather related revenues and regulate its use. Reaching those goals generally relies on land registration and cadastre subsystems with many different variants observed across countries. Although elaborated domain models are available and are good at capturing the domain structure, they leave the design rationales quite implicit. This limits the understanding and reasoning capabilities on the systems, e.g. when some process do not correctly reach its goals. This paper proposes a way to extend such domain models with a goal dimension in order to provide a better guidance in the design of new systems and a better understanding of existing systems. Our approach is based on goal-oriented analysis techniques extended with specific spatio-temporal notations, patterns and decomposition rules.

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Author information

Authors and Affiliations

  1. CETIC Research Center, Charleroi, Belgium

    Christophe Ponsard

  2. Académie de Toulouse, Toulouse, France

    Mounir Touzani

Authors
  1. Christophe Ponsard
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  2. Mounir Touzani
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Corresponding author

Correspondence to Christophe Ponsard .

Editor information

Editors and Affiliations

  1. Technical University of Crete, Marousi, Athens, Greece

    Lemonia Ragia

  2. Knowledge Systems Institute, Skokie, IL, USA

    Robert Laurini

  3. Departamento de Informática, Universidade do Minho, Braga, Portugal

    Jorge Gustavo Rocha

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Ponsard, C., Touzani, M. (2019). Goal-Oriented Analysis and Design of Land Administration Systems. In: Ragia, L., Laurini, R., Rocha, J. (eds) Geographical Information Systems Theory, Applications and Management. GISTAM 2017. Communications in Computer and Information Science, vol 936. Springer, Cham. https://doi.org/10.1007/978-3-030-06010-7_7

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  • DOI: https://doi.org/10.1007/978-3-030-06010-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06009-1

  • Online ISBN: 978-3-030-06010-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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