Abstract
Handling imperfect data inputs in applications for collective and individual memory is a crucial issue in shaping an updated and unprecedented view of it. In the literature, several typologies of data imperfections are proposed. However, these typologies cannot be applied to this context due to its particular specificities. In this paper, we propose a typology of imperfection for data entered by users in the applications for collective and individual memory. It includes nine direct imperfections types and four indirect ones. The direct ones are generated directly from the data inputs e.g., uncertainty and imprecision. The indirect imperfection types are generated from the direct ones, e.g., inconsistency is generated from uncertainty. We finish by representing an example of imprecise temporal data in the Collective Memo Onto (CMO) ontology.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Bouchon-Meunier, B.: Que sais-je? In: La Logique Floue. Presses Universitaires de France, Paris (2007)
Smets, P.: Imperfect information: imprecision - uncertainty. In: Uncertainty Management in Information Systems: From Needs to Solutions (1999)
Niskanen, V.: Introduction to imprecise reasoning. In: Uncertainty, Decision Making and Knowledge Engineering (1998)
Bouchon-Meunier, B., Asker, L.: La logique floue et ses applications. In: Vie Artificielle, Paris (1995)
Klir, J., Yuan, B.: Fuzzy Sets and Fuzzy Logic: Theory and Applications, pp. 443–455 (1995)
Smets, P.: Imperfect information: imprecision and uncertainty. In: Uncertainty Management in Information Systems from Needs to Solutions, pp. 225–254 (1997)
Gershon, N.: Visualization of an imperfect world. IEEE Comput. Graphics Appl. 18(4), 43–45 (1998)
Fisher, P., Comber, A., Wadsworth, R.A.R.: Nature de l’incertitude pour les données spatiales. In: Management in Information Systems (2005)
Olteanu, A.M., Mustière, S., Ruas, A., Desveaux, E.: L’apport de données spatiales pour une base de données ethnographique. In: Actes de Conférénce SAGEO (2006)
Fisher, P.: Models of uncertainty in spatial data. Geogr. Inf. Syst., 191–203 (2003)
Casta, J.F.: Incertitude et comptabilité. Encyclopédie de comptabilité, contrôle de gestion et audit, Economica, 931–941 (2009)
Desjardin, E., Nocent, O., Runz, C.: Prise en compte de l’imperfection des connaissances depuis la saisie des données jusqu’ á la restitution 3D. Geogr. Inf. Syst., 385–396 (2012)
Snoussi, M., Davoine, A.: Methodological proposals to handle imperfect spatial and temporal information in the context of natural hazard studies. Rev. Int. Géomat. 23(3–4), 495–517 (2013)
Sta, H.B.: Quality and the efficiency of data in smart-cities. Future Gener. Comput. Syst, 409–416 (2017)
Achich, N., Ghorbel, F., Hamdi, F., Metais, E., Gargouri, F.: A typology of temporal data imperfection. In: International Conference on Knowledge Engineering and Ontology Development (2019)
Ghorbel, F., Hamdi, F., Achich, N., Metais, E.: Handling data imperfection-false data inputs in applications for Alzheimer’s patients. Data Knowl. Eng. 130, 101864 (2020)
Gavignet, E., Leclercq, E., Cullot, N., Savonnet, M.: Raisonner en logique modale sur l’incertitude liée aux données-application en archéologie. Rev. Int. Géomat. 26(4), 467–490 (2016)
Ghorbel, F., Metais, E., Hamdi, F.: A crisp- based approach for representing and reasoning on imprecise time intervals in OWL 2. In: International Conference on Intelligent Systems Design and Applications, pp. 640–649 (2018)
Welty, C., Fikes, R.: A reusable ontology for fluents in OWL. In: Formal Ontology in Information Systems, pp. 226–336 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Kharfia, H., Ghorbel, F., Gargouri, B. (2022). Typology of Data Inputs Imperfection in Collective Memory Model. In: Abraham, A., Gandhi, N., Hanne, T., Hong, TP., Nogueira Rios, T., Ding, W. (eds) Intelligent Systems Design and Applications. ISDA 2021. Lecture Notes in Networks and Systems, vol 418. Springer, Cham. https://doi.org/10.1007/978-3-030-96308-8_111
Download citation
DOI: https://doi.org/10.1007/978-3-030-96308-8_111
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-96307-1
Online ISBN: 978-3-030-96308-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)