Hypothetical Answers to Continuous Queries over Data Streams

被引：0
|
作者：
Cruz-Filipe, Luis [1 ]
Gaspar, Graca [2 ]
Nunes, Isabel [2 ]
机构：
[1] Univ Southern Denmark, Dept Math & Comp Sci, Odense, Denmark
[2] Univ Lisbon, Fac Sci, BioISI Biosyst & Integrat Sci Inst, Lisbon, Portugal
来源：
THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE | 2020年 / 34卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页码：2798 / 2805
页数：8
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