Abstract
We present VOnDA, a framework to implement the dialogue management functionality in dialogue systems. Although domain-independent, VOnDA is tailored towards dialogue systems with a focus on social communication, which implies the need of a long-term memory and high user adaptivity. For these systems, which are used in health environments or elderly care, margin of error is very low and control over the dialogue process is of topmost importance. The same holds for commercial applications, where customer trust is at risk. VOnDA ’s specification and memory layer relies upon an extended version of RDF/OWL, which provides a universal and uniform representation, and facilitates interoperability with external data sources, e.g., from physical sensors.
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Notes
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Resource Description Framework https://www.w3.org/RDF/ Web Ontology Language https://www.w3.org/OWL/.
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Softbank Robotics https://www.ald.softbankrobotics.com.
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4 core Xeon E5-2683@2.00GHz, 16 GB RAM.
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Acknowledgements
The research described in this paper has been funded by the Horizon 2020 Framework Programme of the European Union within the project PAL (Personal Assistant for healthy Lifestyle) under Grant agreement no. 643783. This paper is dedicated to our colleague and friend Hans-Ulrich Krieger, the creator of HFC. Hope you found peace, wherever you are.
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Kiefer, B., Welker, A., Biwer, C. (2021). VOnDA: A Framework for Ontology-Based Dialogue Management. In: Marchi, E., Siniscalchi, S.M., Cumani, S., Salerno, V.M., Li, H. (eds) Increasing Naturalness and Flexibility in Spoken Dialogue Interaction. Lecture Notes in Electrical Engineering, vol 714. Springer, Singapore. https://doi.org/10.1007/978-981-15-9323-9_8
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