@inproceedings{6073bc3209284311ab9627a95eaadd23,
title = "Can you answer while you wait?",
abstract = "Continuous query answering is a challenging problem faced by systems that need to reason over data as it arrives. Recently, a logic-based approach to this problem has been proposed that advocates generating hypothetical query answers – potential answers that are consistent with the available data, but still require confirmation by future input. The current work studies hypothetical query answering in realistic settings, where data may arrive out of order. This requires revising its semantics and reanalysing the intuitions that led to the design of the existing algorithms, in order to develop a novel incremental online algorithm that takes into account that past data may yet arrive. We also discuss how our methods may be extended to channels with losses.",
author = "Lu{\'i}s Cruz-Filipe and Gra{\c c}a Gaspar and Isabel Nunes",
note = "Funding Information: This work was partially supported by FCT through the LASIGE Research Unit, ref. UIDB/00408/2020 and ref. UIDP/00408/2020. Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 12th International Symposium on Foundations of Information and Knowledge Systems, FoIKS 2022 ; Conference date: 20-06-2022 Through 23-06-2022",
year = "2022",
doi = "10.1007/978-3-031-11321-5_7",
language = "English",
isbn = "9783031113208",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science+Business Media",
pages = "111--129",
editor = "Ivan Varzinczak",
booktitle = "Foundations of Information and Knowledge Systems - 12th International Symposium, FoIKS 2022, Proceedings",
address = "United States",
}