Hypothetical Answers to Continuous Queries over Data Streams

Authors

  • Luís Cruz-Filipe University of Southern Denmark
  • Isabel Nunes University of Lisbon
  • Graça Gaspar University of Lisbon

DOI:

https://doi.org/10.1609/aaai.v34i03.5668

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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Published

2020-04-03

How to Cite

Cruz-Filipe, L., Nunes, I., & Gaspar, G. (2020). Hypothetical Answers to Continuous Queries over Data Streams. Proceedings of the AAAI Conference on Artificial Intelligence, 34(03), 2798-2805. https://doi.org/10.1609/aaai.v34i03.5668

Issue

Section

AAAI Technical Track: Knowledge Representation and Reasoning