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https://ruomo.lib.uom.gr/handle/7000/908
Title: | Knowledge Graphs for Public Service Description: Τhe Case of Getting a Passport in Greece |
Authors: | Promikyridis, Rafail Tambouris, Efthimios |
Type: | Conference Paper |
Subjects: | FRASCATI::Natural sciences::Computer and information sciences |
Keywords: | E-government Knowledge graph Public service provision CPSV Get a password Grakn |
Issue Date: | 2020 |
Publisher: | Springer |
Volume: | 402 |
First Page: | 270 |
Last Page: | 286 |
Volume Title: | Information Systems. EMCIS 2020 |
Part of Series: | Lecture Notes in Business Information Processing |
Part of Series: | Lecture Notes in Business Information Processing |
Abstract: | An important part of electronic Government is the provision of high quality Public Services (PS) to citizens. Towards this goal, the European Commission has proposed the Core Public Service Vocabulary (CPSV), as a PS data model to be used across the public sector. CPSV is adequate for use in the case of simple PS however its effectiveness is questionable in the case of complex PS. A complex PS is one having many (often complicated) rules interrelating its concepts, e.g. dictating citizens have to submit different documents to invoke a PS based on their profiles and circumstances. The aim of this paper is to investigate the use of Knowledge Graphs (KG) for providing personalized information on PS modeled using CPSV. For this purpose, we develop and evaluate a KG for PS “Get a passport” in Greece as a proof-of-concept to study mapping of CPSV to KG. For simplicity, we limit our scope to developing a KG that can provide the input documents and the relevant cost required for obtaining a passport by citizens based on their profile and circumstances. Free software GRAKN.AI was employed for the development of the KG. |
URI: | https://doi.org/10.1007/978-3-030-63396-7_18 https://ruomo.lib.uom.gr/handle/7000/908 |
ISSN: | 1865-1348 |
Electronic ISSN: | 1865-1356 |
Other Identifiers: | 10.1007/978-3-030-63396-7_18 |
Appears in Collections: | Department of Applied Informatics |
Files in This Item:
File | Description | Size | Format | |
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CR100_KG_EMCIS2020.pdf | 947,76 kB | Adobe PDF | View/Open |
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