19 research outputs found
Using Knowledge Graphs to provide public service information
Public authorities all over the world publish an increasing amount of information about the Public Services (PS) they provide to facilitate discovery and use by citizens and businesses. Proper management (storing, processing, querying) of this information is necessary to make it fully exploitable. This includes adopting a common PS data model to facilitate interoperability, such as the Core Public Service Vocabulary (CPSV) developed by the European Union. In addition, the choice of technology is important as it is closely related to the quality of information. The aim of this paper is to investigate the benefits of adopting knowledge graphs to manage PS information that are structured using CPSV data model. For this purpose, we capitalize on previous research enriching CPSV and using RDF to develop a relevant knowledge graph and evaluate its use by employing various usage scenarios. The results suggest the use of knowledge graphs can provide benefits by exploiting domain-specific rules however there is still work to be done before the public sector widely adopts their use.252259DG.O 2022: The 23rd Annual International Conference on Digital Government Researc
Knowledge Graphs for Public Service Description: Τhe Case of Getting a Passport in Greece
Knowledge Graphs for Public Service Description: Τhe Case of Getting a Passport in Greece
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.402270286Information Systems. EMCIS 202
The Pythagorean proposition: a historical approach of pythagorean relation
Λέγεται από πολλούς, ότι το Πυθαγόρειο Θεώρημα το ανακάλυψε ο Πυθαγόρας, από άλλους ότι το απέδειξε. Κάποιοι αναφέρουν ότι το ανακάλυψαν οι Αιγύπτιοι ή και οι Βαβυλώνιοι. Σίγουρα έχει αποδειχθεί στα πλαίσια ενός ολοκληρωμένου αξιωματικού συστήματος, στα ΣΤΟΙΧΕΙΑ του Ευκλείδη το 300 π.Χ. περίπου. Τελικά τι έχει συμβεί πριν την εποχή του Ευκλείδη και πως εμφανίζεται το Πυθαγόρειο Θεώρημα σε διάφορους λαούς μετά τον Ευκλείδη; Τι ξέρουμε από πηγές και τι φανταζόμαστε; Σε τι μπορούμε να καταλήξουμε από επιστημονικές αναλύσεις και τι λένε οι διάφοροι μύθοι;
Στην παρούσα πτυχιακή εργασία προσεγγίσαμε ιστορικά την πυθαγόρεια ιδιότητα, τη γνωστή ως πυθαγόρειο θεώρημα. Συγκεκριμένα, μελετήσαμε την εμφάνιση αυτής της ιδιότητας σε διάφορους λαούς, καθώς και την πορεία που ο καθένας από αυτούς ακολούθησε ώστε να οδηγηθεί τελικά σε κάποιο είδος απόδειξης και εφαρμογής της. Αντλώντας πληροφορίες μέσα από έργα σπουδαίων συγγραφέων, μελετητών και σχολιαστών αλλά και ανώνυμων, καταγράψαμε από τα αρχαία χρόνια τον τρόπο που παρουσιαζόταν κάθε φορά η πυθαγόρεια ιδιότητα: άλλοτε ως μια απλή ιδιότητα σε ένα τρίγωνο, άλλοτε ως μια ιδιότητα του ορθογωνίου τριγώνου χωρίς απόδειξη και άλλοτε ως ιδιότητα που χρήζει απόδειξης.
Ξεκινήσαμε με το έργο του Ευκλείδη ΣΤΟΙΧΕΙΑ παρουσιάζοντας το Πυθαγόρειο Θεώρημα από το 1ο βιβλίο των ΣΤΟΙΧΕΙΩΝ. Προχωρήσαμε στα μαθηματικά των Πυθαγορείων και στη συνέχεια παρουσιάσαμε τη συμβολή άλλων λαών, των Βαβυλωνίων, των Αιγυπτίων, των Κινέζων και των Ινδών
Xor-Trees for Efficient Anonymous Multicast and Reception
In this work we examine the problem of efficient anonymous broadcast and reception in general communication networks. We show an algorithm which achieves anonymous communication with O(1) amortized communication complexity on each link and low computational complexity. In contrast, all previous solutions require polynomial (in the size of the network and security parameter) amortized communication complexity. An extended abstract of this paper appears in the Proc. of the 17th Annual IACR Crypto Conference, CRYPTO 1997. y Department of Mathematics and Computer Science, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel. Email: [email protected]. Part of this work was done while this author visited Bellcore with the support of DIMACS. Partially supported by the Israeli ministry of science and arts grant #6756195. z Bell Communications Research, 445 South St., MCC 1C-365B, Morristown, NJ 07960-6438, USA. Email: [email protected]. 1 Introduction One of the primary ob..
Integration of chatbots with Knowledge Graphs in eGovernment: The case of Getting a Passport
An important goal of electronic government initiatives worldwide is to provide citizens with personalized information about public services. Chatbots and knowledge graphs are emerging technologies that are potentially suitable for that purpose however, their use is not thoroughly researched. The aim of this paper is to investigate the integration of chatbots with knowledge graphs (KG) from both a technical and a public administration view. For this purpose, we develop a proof-of-concept chatbot-KG integration using Getting a passport public service. Specifically, we construct a new knowledge graph schema, devise a technical architecture, and implement a prototype. In addition, the chatbot-KG integration is evaluated using TAM and SUS based questionnaires to obtain feedback on ease of use, usefulness and usability. We conclude that the chatbot-KG integration is technically feasible and provides potential benefits to citizens.42542925th Pan-Hellenic Conference on Informatic
Towards exploiting BPMN and DMN in public service modeling
Modeling of Public Services (PSs) is used by a large number of public authorities worldwide to improve their quality. The resulting diagrams are useful in the case of simple PSs however they can become very complex in the case of complex PSs. To address process complexity, the integration of Business Process Model and Notation (BPMN) and Decision Model and Notation (DMN) has been proposed. DMN is applied to model the decision logic of a process and has proven to provide promising results in the private sector. However, the integration of BPMN and DMN has not been studied in the case of PSs. The aim of this paper is twofold. First, to investigate the integration of BPMN and DMN when applied to complex PSs. Second, to identify a set of steps and principles for integrating BPMN and DMN to model complex PSs. For this purpose, a literature review is conducted leading to the result that there is limited research on the use of BPMN to model complex PS while research on the use of DMN is missing. In addition, a PS is selected and modeled based on selected criteria and finally, a set of steps and principles is proposed.211216Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatic
On the use of Chatbots and Knowledge Graphs for Public Service information provision based on Life Events: The case of Travelling Abroad
Citizens during different stages of their lives seek information about Public Services (PS)related to life events. To accommodate this need, the public sector provides PS informationaround life events, such as getting married or travelling abroad. This information is oftenprovided through structured web pages and web-based dialogue systems. However, chatbotsand knowledge graphs are two technologies that can be also used for the same purpose due totheir advantages. The aim of this paper is to investigate chatbots-knowledge graphs integrationfor PS information provision based on life events. For this reason, we develop and evaluate aproof-of-concept chatbot-knowledge graph integration based on CPSV-AP for PS informationrelated to the "Travel Abroad" life event.3449Proceedings EGOV-CeDEM-EPart 2023, September 05-07, Corvinus University of Budapest, Hungar
Accessible Dialog System for Public Service Information Provision: The Case of Transportation Card for the Disabled
Public service provision is divided into two phases: the information phase and the execution phase. In the information phase, the citizen obtains information related to the public service he is interested in, then proceeds to the execution phase and receives its output (if any). However, the information phase of public services is often informal, and the quality of the information services provided is often deficient, and in some cases, it's completely absent. The absence of such information and the lack of integrated and accessible services are major obstacles to citizens' easy access to important information. This lack of information is considered an even greater problem, especially in cases where public services are intended for disabled people. Such an example is the "Transportation Card for the Disabled"public service, from which the information phase is absent. So, this paper aims to create a process for developing accessible dialog systems for public service information provision. For this purpose, we developed an accessible web-based dialog system for information provision, using as a case study the Greek public service "Transportation Card for the Disabled".8894Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatic
The Use of Artificial Intelligence in eParticipation: Mapping Current Research
Electronic Participation (eParticipation) enables citizens to engage in political and decision-making processes using information and communication technologies. As in many other fields, Artificial Intelligence (AI) has recently started to dictate some of the realities of eParticipation. As a result, an increasing number of studies are investigating the use of AI in eParticipation. The aim of this paper is to map current research on the use of AI in eParticipation. Following PRISMA methodology, the authors identified 235 relevant papers in Web of Science and Scopus and selected 46 studies for review. For analysis purposes, an analysis framework was constructed that combined eParticipation elements (namely actors, activities, effects, contextual factors, and evaluation) with AI elements (namely areas, algorithms, and algorithm evaluation). The results suggest that certain eParticipation actors and activities, as well as AI areas and algorithms, have attracted significant attention from researchers. However, many more remain largely unexplored. The findings can be of value to both academics looking for unexplored research fields and practitioners looking for empirical evidence on what works and what does not
