Chatbots as a Novel Access Method for Government Open Data

نویسندگان

  • Simone Porreca
  • Francesco Leotta
  • Massimo Mecella
  • Tiziana Catarci
چکیده

In this discussion paper, we propose to employ chatbots as a user-friendly interface for open data published by organizations, specifically focusing on public administrations. Open data are especially useful in e-Government initiatives but their exploitation is currently hampered to end users by the lack of user-friendly access methods. On the other hand, current UX in social networks have made people used to chatting. Building on cognitive technologies, we prototyped a chatbot on top of the OpenCantieri dataset published by the Italian Ministero delle Infrastrutture e Trasporti, and we argue that such a model can be extended as a generally available access method to open data.

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تاریخ انتشار 2017