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- W4387185178 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." @default.
- W4387185178 created "2023-09-30" @default.
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- W4387185178 date "2023-09-28" @default.
- W4387185178 modified "2023-09-30" @default.
- W4387185178 title "Optimal Alignment of Temporal Knowledge Bases" @default.
- W4387185178 doi "https://doi.org/10.3233/faia230335" @default.
- W4387185178 hasPublicationYear "2023" @default.
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