Optimal Alignment of Temporal Knowledge Bases
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
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
Originalsprache | Englisch |
---|---|
Titel | Proceedings of the 26th European Conference on Artificial Intelligence (ECAI 2023) |
Redakteure/-innen | Kobi Gal, Kobi Gal, Ann Nowe, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu |
Herausgeber (Verlag) | IOS Press |
Seiten | 708-715 |
Seitenumfang | 8 |
ISBN (elektronisch) | 9781643684369 |
Publikationsstatus | Veröffentlicht - 28 Sept. 2023 |
Peer-Review-Status | Ja |
Publikationsreihe
Reihe | Frontiers in Artificial Intelligence and Applications |
---|---|
Band | 372 |
ISSN | 0922-6389 |
Konferenz
Titel | 26th European Conference on Artificial Intelligence |
---|---|
Kurztitel | ECAI 2023 |
Veranstaltungsnummer | 26 |
Dauer | 30 September - 4 Oktober 2023 |
Webseite | |
Bekanntheitsgrad | Internationale Veranstaltung |
Ort | ICE Kraków Congress Centre |
Stadt | Kraków |
Land | Polen |
Externe IDs
Scopus | 85175831038 |
---|