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.
| Original language | English |
|---|---|
| Title of host publication | AAAI 2020 - 34th AAAI Conference on Artificial Intelligence |
| Publisher | AAAI Press |
| Publication date | 2020 |
| Pages | 2798-2805 |
| ISBN (Electronic) | 9781577358350 |
| Publication status | Published - 2020 |
| Event | 34th AAAI Conference on Artificial Intelligence, AAAI 2020 - New York, United States Duration: 7. Feb 2020 → 12. Feb 2020 |
Conference
| Conference | 34th AAAI Conference on Artificial Intelligence, AAAI 2020 |
|---|---|
| Country/Territory | United States |
| City | New York |
| Period | 07/02/2020 → 12/02/2020 |
| Sponsor | Association for the Advancement of Artificial Intelligence |
| Series | AAAI 2020 - 34th AAAI Conference on Artificial Intelligence |
|---|
Bibliographical note
Publisher Copyright:Copyright © 2020, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.