OK, DNA! is an intuitive conversational interface designed to assist biologists and clinicians, who generally have little computer science expertise, in retrieving data from genomic databases. Through this novel technology, complex bioinformatics queries are abstracted to a dialogue interface, that does not require any specific knowledge on querying languages. The power of OK, DNA! is that it exploits the conversation with two goals - as a guide to assist biologists and clinicians during the creation of the entire search process, and as a natural language interface to formulate queries on multiple heterogeneous genomic datasets.

Crovari, P., Catania, F., Pinoli, P., Roytburg, P., Salzar, A., Garzotto, F., et al. (2020). OK, DNA! A Conversational Interface to Explore Genomic Data. In ACM International Conference Proceeding Series. Association for Computing Machinery [10.1145/3405755.3406163].

OK, DNA! A Conversational Interface to Explore Genomic Data

Garzotto F.;
2020

Abstract

OK, DNA! is an intuitive conversational interface designed to assist biologists and clinicians, who generally have little computer science expertise, in retrieving data from genomic databases. Through this novel technology, complex bioinformatics queries are abstracted to a dialogue interface, that does not require any specific knowledge on querying languages. The power of OK, DNA! is that it exploits the conversation with two goals - as a guide to assist biologists and clinicians during the creation of the entire search process, and as a natural language interface to formulate queries on multiple heterogeneous genomic datasets.
poster
Bioinformatics; Conversational Interface; Data retrieval; Database;
English
2nd Conference on Conversational User Interfaces, CUI 2020 - 22 July 2020through 24 July 2020
2020
ACM International Conference Proceeding Series
9781450375443
2020
3406163
none
Crovari, P., Catania, F., Pinoli, P., Roytburg, P., Salzar, A., Garzotto, F., et al. (2020). OK, DNA! A Conversational Interface to Explore Genomic Data. In ACM International Conference Proceeding Series. Association for Computing Machinery [10.1145/3405755.3406163].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/556503
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