BIBLIOS

Document type
Conference papers

Document subtype
Full paper

Title
Hypothetical Answers to Continuous Queries over Data Streams

Participants in the publication
Luís Cruz-Filipe (Author)
Graça Gaspar (Author)
Dep. Informática
BioISI
Isabel Nunes (Author)
Dep. Informática
BioISI

Summary
Continuous queries over data streams may suffer from blocking operations and/or unbound wait, which may 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. \\\\\\\\\\\\\\\\nIn 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.


Event
Proceedings of the 34th AAAI Conference on Artificial Intelligence

Publication Identifiers
ISSN - 2374-3468,2159-5399

Publisher
Association for the Advancement of Artificial Intelligence (AAAI)



Document Identifiers
DOI - https://doi.org/10.1609/aaai.v34i03.5668
URL - http://dx.doi.org/10.1609/aaai.v34i03.5668

Rankings
CORE A* (2020) -
Google Metrics (2020) - 126