Abstract | ||
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ABSTRACTThe paper describes an approach that combines work from three fields with previously separate research communities: social robotics, conversational AI, and graph databases. The aim is to develop a generic framework in which a variety of social robots can provide high-quality information to users by accessing semantically-rich knowledge graphs about multiple different domains. An example implementation uses a Furhat robot with Rasa open source conversational AI and knowledge graphs in Neo4j graph databases. |
Year | DOI | Venue |
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2022 | 10.5555/3523760.3523941 | ACM/IEEE International Conference on Human-Robot Interaction |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Graham Wilcock | 1 | 38 | 15.03 |
Kristiina Jokinen | 2 | 277 | 40.85 |