Abstract
We introduce J.A.N.E. – a proof-of-concept voice-based travel assistant. It is an attempt to show how to handle increasingly complex user queries against the web while balancing between an intuitive user interface and a proper knowledge quality level. As the use case, the search for travel directions based on user preferences regarding cuisine, art and activities was chosen. The system integrates knowledge from several sources, including Wikidata, LinkedGeoData and OpenWeatherMap. The voice interaction with the user is built on the Amazon Alexa platform. A system architecture description is supplemented by the discussion about the motivation and requirements for such complex assistants.
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Notes
- 1.
See: https://lod-cloud.net/.
- 2.
See: https://www.wikidata.org.
- 3.
- 4.
There were some participants that knew the answer and they had significantly lower result from the average.
- 5.
See https://en.wikipedia.org/wiki/Wenecja for the polish village called Venice.
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Kutt, K., Skoczeń, S., Nalepa, G.J. (2021). A Voice-Based Travel Recommendation System Using Linked Open Data. In: Paszynski, M., Kranzlmüller, D., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M. (eds) Computational Science – ICCS 2021. ICCS 2021. Lecture Notes in Computer Science(), vol 12744. Springer, Cham. https://doi.org/10.1007/978-3-030-77967-2_31
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