A voice-based travel recommendation system using linked open data

Autor:	Sebastian Skoczen, Grzegorz J. Nalepa, Krzysztof Kutt
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	World Wide Web Knowledge quality Computer science Voice assistant human-computer interaction Systems architecture voice assistant linked open data Linked data Recommender system User interface
Zdroj:	Computational Science – ICCS 2021 ISBN: 9783030779665 ICCS (3)
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab51043adcd02474a65882f7822bf410 https://ruj.uj.edu.pl/xmlui/handle/item/276195 Zobrazit plný text záznamu