Big Data Conceptual Modelling in Cyber-Physical Systems
Management of large volumes of data, collected from modern Cyber-Physical Systems, is calling for models, tools and methods for data representation and exploration, in order to capture relevant properties of physical objects, and manage them in the cyber-space. In this context, the impact of big data disruptive characteristics (namely, volume, velocity and variety) on data modelling and information systems design
needs further investigation. In particular, data exploration is assuming an ever growing relevance, being a way users/operators can learn from data by inspecting it according to different perspectives. In this paper, we use conceptual modelling for (big) data exploration in a dynamic context of interconnected systems. We rely on a multi-dimensional model, that is suited for properly providing data organization for exploration. Furthermore, we propose a model-driven approach that guides the design of multiple exploration strategies according to different objectives. The model-driven approach exploits a model of relevance, aimed at focusing the attention of the users/operators only on relevant data that are being explored. We describe the instantiation of the proposed concepts through some scenarios in the smart factory context, in order to show how conceptual modelling helps abstracting from implementation details and focusing on semantics of explored data.
Copyright (c) 2018 Ada Bagozi, Devis Bianchini, Valeria De Antonellis, Alessandro Marini, Davide Ragazzi
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms: Authors retain copyright and grant the journal 'Enterprise Modelling and Information Systems Architectures - International Journal of Conceptual Modeling' and the Gesellschaft für Informatik e.V. (GI) the permission of first publication, and the non-exclusive, irrevocable and non-time limited publication permission for the submitted work including the permissions to store, copy, distribute and reproduce their work in printed and electronic form for the duration of the legal copyright. This includes the right of translation. Authors grant the journal 'Enterprise Modelling and Information Systems Architectures - International Journal of Conceptual Modeling' and the Gesellschaft für Informatik e.V. (GI) the permission to license their work under a Creative Commons BY-SA 4.0 license that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book) given an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). The submitting corresponding author on behalf of all co-authors asserts that she/he is entitled to the granting of the above mentioned permissions for the submitted work.