Abstract
In this paper, we describe the foundations for generating a chatbot out of a website equipped with simple, bot-specific HTML annotations. The approach is part of what we call conversational web browsing, i.e., a dialog-based, natural language interaction with websites. The goal is to enable users to use content and functionality accessible through rendered UIs by “talking to websites” instead of by operating the graphical UI using keyboard and mouse. The chatbot mediates between the user and the website, operates its graphical UI on behalf of the user, and informs the user about the state of interaction. We describe the conceptual vocabulary and annotation format, the supporting conversational middleware and techniques, and the implementation of a demo able to deliver conversational web browsing experiences through Amazon Alexa.
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Notes
- 1.
Note that here we do not want to introduce an own, new modeling notation for conversational browsing; Fig. 2 serves an intuitive, illustrative purpose only.
- 2.
The tree is a result of the hierarchical organization enabled by selection intents, e.g., LatestPaper\(\rightarrow \) Title(Text Reader).
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Chittò, P., Baez, M., Daniel, F., Benatallah, B. (2020). Automatic Generation of Chatbots for Conversational Web Browsing. In: Dobbie, G., Frank, U., Kappel, G., Liddle, S.W., Mayr, H.C. (eds) Conceptual Modeling. ER 2020. Lecture Notes in Computer Science(), vol 12400. Springer, Cham. https://doi.org/10.1007/978-3-030-62522-1_17
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