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Using SQL/MED to Query Heterogeneous Data Sources with Alexa Voice Commands
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Dokumententyp
Text/Conference Paper
Dateien
Datum
2023
Zeitschriftentitel
ISSN der Zeitschrift
Bandtitel
Quelle
BTW 2023
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
Typical Alexa skills and other add-ons for voice assistants need to be custom developed for their one specific use case. This paper presents an approach to map arbitrary data sources (databases, APIs, services) to the relational model by using SQL/MED and to transform voice-based queries into SQL. The key challenges for such a universal skill are to correctly map the natural-language question into a SQL query on the correct source table in the federated database and to convert the result set back to a compact and well-understandable answer.