Enhancing Core Public Service Vocabulary to Enable Public Service Personalization

The provision of public services (PS) is at the heart of public authority operations as it directly affects citizens’ lives and the prosperity of society. Part of PS provision is publishing PS descriptions in an online catalogue to inform citizens and promote transparency. The European Commission ha...

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Main Authors: Alexandros Gerontas, Dimitris Zeginis, Rafail Promikyridis, Marin Androš, Efthimios Tambouris, Vibor Cipan, Konstantinos Tarabanis
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Information
Subjects:
Online Access:https://www.mdpi.com/2078-2489/13/5/225
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author Alexandros Gerontas
Dimitris Zeginis
Rafail Promikyridis
Marin Androš
Efthimios Tambouris
Vibor Cipan
Konstantinos Tarabanis
author_facet Alexandros Gerontas
Dimitris Zeginis
Rafail Promikyridis
Marin Androš
Efthimios Tambouris
Vibor Cipan
Konstantinos Tarabanis
author_sort Alexandros Gerontas
collection DOAJ
description The provision of public services (PS) is at the heart of public authority operations as it directly affects citizens’ lives and the prosperity of society. Part of PS provision is publishing PS descriptions in an online catalogue to inform citizens and promote transparency. The European Commission has developed Core Public Service Vocabulary Application Profile (CPSV-AP), as a standard European PS data model to facilitate PS catalogue creation and semantic interoperability. However, CPSV-AP is not sufficient to model complex PS with different versions based on rules and citizens’ circumstances (e.g., getting a passport for a child or for an emergency). As a result, citizens cannot obtain personalized information on PS. The aim of this paper is to enhance CPSV-AP in order to support the modeling of complex PS. We illustrate the use of the proposed model in a real-life case study. Specifically, we use the proposed model to develop a knowledge graph and a chatbot that provides personalized information to citizens of the city of Bjelovar (Croatia) regarding the life-event “having a baby”. We believe our research is of interest to researchers on PS data models and public authorities interested in providing personalized PS information to their citizens using chatbots.
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spelling doaj.art-0a08a370829341978f9852cf2198304a2023-11-23T11:29:57ZengMDPI AGInformation2078-24892022-04-0113522510.3390/info13050225Enhancing Core Public Service Vocabulary to Enable Public Service PersonalizationAlexandros Gerontas0Dimitris Zeginis1Rafail Promikyridis2Marin Androš3Efthimios Tambouris4Vibor Cipan5Konstantinos Tarabanis6Department of Applied Informatics, School of Information Sciences, University of Macedonia, 156 Egnatia Street, 54636 Thessaloniki, GreeceInformation Technologies Institute, Centre for Research and Technology Hellas (CERTH), 6th km Harilaou—Thermi, 57001 Thermi, GreeceDepartment of Applied Informatics, School of Information Sciences, University of Macedonia, 156 Egnatia Street, 54636 Thessaloniki, GreeceRIDE Technologies d.o.o., Vrhovcev Vijenac 40, 10000 Zagreb, CroatiaDepartment of Applied Informatics, School of Information Sciences, University of Macedonia, 156 Egnatia Street, 54636 Thessaloniki, GreeceRIDE Technologies d.o.o., Vrhovcev Vijenac 40, 10000 Zagreb, CroatiaInformation Technologies Institute, Centre for Research and Technology Hellas (CERTH), 6th km Harilaou—Thermi, 57001 Thermi, GreeceThe provision of public services (PS) is at the heart of public authority operations as it directly affects citizens’ lives and the prosperity of society. Part of PS provision is publishing PS descriptions in an online catalogue to inform citizens and promote transparency. The European Commission has developed Core Public Service Vocabulary Application Profile (CPSV-AP), as a standard European PS data model to facilitate PS catalogue creation and semantic interoperability. However, CPSV-AP is not sufficient to model complex PS with different versions based on rules and citizens’ circumstances (e.g., getting a passport for a child or for an emergency). As a result, citizens cannot obtain personalized information on PS. The aim of this paper is to enhance CPSV-AP in order to support the modeling of complex PS. We illustrate the use of the proposed model in a real-life case study. Specifically, we use the proposed model to develop a knowledge graph and a chatbot that provides personalized information to citizens of the city of Bjelovar (Croatia) regarding the life-event “having a baby”. We believe our research is of interest to researchers on PS data models and public authorities interested in providing personalized PS information to their citizens using chatbots.https://www.mdpi.com/2078-2489/13/5/225public servicepersonalizationknowledge graphchatbotCPSV-AP
spellingShingle Alexandros Gerontas
Dimitris Zeginis
Rafail Promikyridis
Marin Androš
Efthimios Tambouris
Vibor Cipan
Konstantinos Tarabanis
Enhancing Core Public Service Vocabulary to Enable Public Service Personalization
Information
public service
personalization
knowledge graph
chatbot
CPSV-AP
title Enhancing Core Public Service Vocabulary to Enable Public Service Personalization
title_full Enhancing Core Public Service Vocabulary to Enable Public Service Personalization
title_fullStr Enhancing Core Public Service Vocabulary to Enable Public Service Personalization
title_full_unstemmed Enhancing Core Public Service Vocabulary to Enable Public Service Personalization
title_short Enhancing Core Public Service Vocabulary to Enable Public Service Personalization
title_sort enhancing core public service vocabulary to enable public service personalization
topic public service
personalization
knowledge graph
chatbot
CPSV-AP
url https://www.mdpi.com/2078-2489/13/5/225
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