Optimal Alignment of Temporal Knowledge Bases
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
Answering temporal CQs over temporalized Description Logic knowledge bases (TKB) is a main technique to realize ontology-based situation recognition. In case the collected data in such a knowledge base is inaccurate, important query answers can be missed. In this paper we introduce the TKB Alignment problem, which computes a variant of the TKB that minimally changes the TKB, but entails the given temporal CQ and is in that sense (cost-) optimal. We investigate this problem for ALC TKBs and conjunctive queries with LTL operators and devise a solution technique to compute (cost-optimal) alignments of TKBs that extends techniques for the alignment problem for propositional LTL over finite traces.
Details
| Original language | English |
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| Title of host publication | Proceedings of the 26th European Conference on Artificial Intelligence (ECAI 2023) |
| Editors | Kobi Gal, Kobi Gal, Ann Nowe, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu |
| Publisher | IOS Press |
| Pages | 708-715 |
| Number of pages | 8 |
| ISBN (electronic) | 9781643684369 |
| Publication status | Published - 28 Sept 2023 |
| Peer-reviewed | Yes |
Publication series
| Series | Frontiers in Artificial Intelligence and Applications |
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| Volume | 372 |
| ISSN | 0922-6389 |
Conference
| Title | 26th European Conference on Artificial Intelligence |
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| Abbreviated title | ECAI 2023 |
| Conference number | 26 |
| Duration | 30 September - 4 October 2023 |
| Website | |
| Degree of recognition | International event |
| Location | ICE Kraków Congress Centre |
| City | Kraków |
| Country | Poland |
External IDs
| Scopus | 85175831038 |
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