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2020
Conference Paper
Titel

ENDA: Insights into building a chatbot for open government data

Abstract
The frictionless access to Open Data via portals and traditional search paradigms currently lacks usability. In order to tackle this problem, we developed a prototype of a chatbot for Open Government Data called ENDA, which is based on the ChatScript framework and the Linked Data specification for public sector datasets DCAT-AP. User requests are mapped to corresponding SPARQL queries using pattern-matching techniques. The initial requirements were derived via a Wizard-of-Oz study involving potential users. During evaluation against the European Data Portal it was revealed that existing limitations hinder the development of a production-grade chatbot.
Author(s)
Meiners, Fritz
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS
Kirstein, Fabian
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS
Hauptwerk
Ongoing Research, Practitioners, Posters, Workshops, and Projects at EGOV-CeDEM-ePart 2020. Proceedings. Online resource
Konferenz
International Conference on Electronic Government (EGOV) 2020
Conference for E-Democracy and Open Government Conference (CeDEM) 2020
International Conference on eParticipation (ePart) 2020
File(s)
N-621857.pdf (701.04 KB)
Language
English
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Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS
Tags
  • Chatbot

  • linked open data

  • DCAT-AP

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