Optimal Alignment of Temporal Knowledge Bases

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

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

OriginalspracheEnglisch
TitelProceedings of the 26th European Conference on Artificial Intelligence (ECAI 2023)
Redakteure/-innenKobi Gal, Kobi Gal, Ann Nowe, Grzegorz J. Nalepa, Roy Fairstein, Roxana Radulescu
Herausgeber (Verlag)IOS Press
Seiten708-715
Seitenumfang8
ISBN (elektronisch)9781643684369
PublikationsstatusVeröffentlicht - 28 Sept. 2023
Peer-Review-StatusJa

Publikationsreihe

ReiheFrontiers in Artificial Intelligence and Applications
Band372
ISSN0922-6389

Konferenz

Titel26th European Conference on Artificial Intelligence
KurztitelECAI 2023
Veranstaltungsnummer26
Dauer30 September - 4 Oktober 2023
Webseite
BekanntheitsgradInternationale Veranstaltung
OrtICE Kraków Congress Centre
StadtKraków
LandPolen

Externe IDs

Scopus 85175831038