Chatbot integration in few patterns

Marcos Baez, Florian Daniel, Fabio Casati, Boualem Benatallah

School of Engineering Entrepreneurship

Research output: Contribution to journal › Article › peer-review

Abstract

Chatbots are software agents that are able to interact with humans in natural language. Their intuitive interaction paradigm is expected to significantly reshape the software landscape of tomorrow, while already today chatbots are invading a multitude of scenarios and contexts. This article takes a developer's perspective, identifies a set of architectural patterns that capture different chatbot integration scenarios, and reviews state-of-the-art development aids.

Original language	English
Journal	IEEE Internet Computing
DOIs	https://doi.org/10.1109/MIC.2020.3024605
Publication status	Accepted/In press - 2020

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1109/MIC.2020.3024605

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