Enabling Conversational Tourism Assistants Through Schema.org Mapping
An immense effort has been invested so far by the semantic web community to make semantically annotated tourism data available. Naturally, the result of these efforts can only be proven useful if there are applications working on top of the data produced. In this paper we introduce a simple method for developing a conversational agent with state of the art tools by mapping tourism related types and properties to conversational elements in a straightforward and generic way.
KeywordsIntelligent assistant e-tourism Conversational mapping schema.org
We would like to thank all the members of the Schema-Tourism Working Group (https://schema-tourism.sti2.org) for their valuable feedback and suggestions.
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