Hypothetical answers to continuous queries over data streams

Luís Cruz-Filipe, Graça Gaspar, Isabel Nunes

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstrakt

Continuous queries over data streams often delay answers until some relevant input arrives through the data stream. These delays may turn answers, when they arrive, obsolete to users who sometimes have to make decisions with no help whatsoever. Therefore, it can be useful to provide hypothetical answers – “given the current information, it is possible that X will become true at time t” – instead of no information at all. In this paper we present a semantics for queries and corresponding answers that covers such hypothetical answers, together with an online algorithm for updating the set of facts that are consistent with the currently available information.

OriginalsprogEngelsk
TitelAAAI 2020 - 34th AAAI Conference on Artificial Intelligence
ForlagAAAI Press
Publikationsdato2020
Sider2798-2805
ISBN (Elektronisk)9781577358350
StatusUdgivet - 2020
Begivenhed34th AAAI Conference on Artificial Intelligence, AAAI 2020 - New York, USA
Varighed: 7. feb. 202012. feb. 2020

Konference

Konference34th AAAI Conference on Artificial Intelligence, AAAI 2020
Land/OmrådeUSA
ByNew York
Periode07/02/202012/02/2020
SponsorAssociation for the Advancement of Artificial Intelligence
NavnAAAI 2020 - 34th AAAI Conference on Artificial Intelligence

Bibliografisk note

Funding Information:
Acknowledgements. This work was partially supported by the Independent Research Fund Denmark, grant DFF-7014-00041, and by UID/MULTI/04046/2019 Research Unit grant from FCT, Portugal (to BioISI).

Publisher Copyright:
Copyright © 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.

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