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Conference object . 2024
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HAL Sorbonne Université
Conference object . 2024
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https://doi.org/10.24963/kr.20...
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Article . 2024
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Queries With Exact Truth Values in Paraconsistent Description Logics

Authors: Bienvenu, Meghyn; Bourgaux, Camille; Kozhemiachenko, Daniil;

Queries With Exact Truth Values in Paraconsistent Description Logics

Abstract

We present a novel approach to querying classical inconsistent description logic (DL) knowledge bases by adopting a paraconsistent semantics with the four ‘Belnapian’ values: exactly true (T), exactly false (F), both (B), and neither (N). In contrast to prior studies on paraconsistent DLs, we allow truth value operators in the query language, which can be used to differentiate between answers having contradictory evidence and those having only positive evidence. We present a reduction to classical DL query answering that allows us to pinpoint the precise combined and data complexity of answering queries with values in paraconsistent ALCHI and its sublogics. Notably, we show that tractable data complexity is retained for Horn DLs. We present a comparison with repair-based inconsistency-tolerant semantics, showing that the two approaches are incomparable.

Keywords

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], FOS: Computer and information sciences, [INFO.INFO-LO] Computer Science [cs]/Logic in Computer Science [cs.LO], Logic in Computer Science, Logic, Databases (cs.DB), Logic in Computer Science (cs.LO), Databases, Artificial Intelligence (cs.AI), Artificial Intelligence, FOS: Mathematics, [INFO.INFO-DB] Computer Science [cs]/Databases [cs.DB], [MATH.MATH-LO] Mathematics [math]/Logic [math.LO], Logic (math.LO)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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