Please use this identifier to cite or link to this item: https://ruomo.lib.uom.gr/handle/7000/1766
Title: Towards an event-centric knowledge graph approach for public administration
Authors: Zeginis, Dimitris
Tarabanis, Konstantinos
Type: Conference Paper
Subjects: FRASCATI::Natural sciences::Computer and information sciences
Keywords: business event
CPSV-AP
event centric
Knowledge graphs
life event
public administration
Semantic web
Issue Date: 2022
First Page: 25
Last Page: 32
Volume Title: 2022 IEEE 24th Conference on Business Informatics (CBI)
Abstract: Public administrations (PA) around the globe produce and handle a vast amount of data that are mainly the outcome of interactions of end-users. By evaluating the focus of PA one finds that most interactions involve only a few core entities such as the citizen or business. Usually, this information involving the core entities are scattered in numerous siloed databases developed by different departments and divisions, thus hindering PA to provide a comprehensive overview of their core entities and their interactions. Recently, knowledge graphs have been proposed for structuring large collections of data in a meaningful way, however they tend to represent a static state of the world and do not focus on the dynamics and changes over time. To address this, a new approach of event-centric knowledge graphs has been introduced that captures the dynamics of knowledge considering events as first-class entities for knowledge representation. The aim of this paper is to apply an event-centric knowledge graph approach for a holistic data governance of all data repositories in PA which models all interactions of PA related actors. We anticipate that the proposed approach will also facilitate PAs to adopt a data-centic orientation that can facilitate ubiquitous AI and data analytics.
URI: https://doi.org/10.1109/CBI54897.2022.10045
https://ruomo.lib.uom.gr/handle/7000/1766
ISBN: 978-1-6654-6016-3
Other Identifiers: 10.1109/CBI54897.2022.10045
Appears in Collections:Department of Business Administration

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