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oaioai:ojs.aaai.org:article/5668

Hypothetical Answers to Continuous Queries over Data Streams

Authors
Publication date
3 April 2020
Publisher
Association for the Advancement of Artificial Intelligence
Doi

    Abstract

    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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    Association for the Advancement of Artificial Intelligence: AAAI Publications

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    Last time updated on 30/11/2020

    This paper was published in Association for the Advancement of Artificial Intelligence: AAAI Publications.

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