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.
|Titel||AAAI 2020 - 34th AAAI Conference on Artificial Intelligence|
|Status||Udgivet - 2020|
|Begivenhed||34th AAAI Conference on Artificial Intelligence, AAAI 2020 - New York, USA|
Varighed: 7. feb. 2020 → 12. feb. 2020
|Konference||34th AAAI Conference on Artificial Intelligence, AAAI 2020|
|Periode||07/02/2020 → 12/02/2020|
|Sponsor||Association for the Advancement of Artificial Intelligence|
|Navn||AAAI 2020 - 34th AAAI Conference on Artificial Intelligence|
Bibliografisk noteFunding 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).
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