Queries With Exact Truth Values in Paraconsistent Description Logics

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.

Authors

Institutions

Publication Details

Published
2024-10-26
DOI
https://doi.org/10.24963/kr.2024/14
Primary Topic
Semantic Web and Ontologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Queries With Exact Truth Values in Paraconsistent Description Logics

Meghyn Bienvenu, Daniil Kozhemiachenko, Camille Bourgaux
Semantic Web and Ontologies
article

Queries With Exact Truth Values in Paraconsistent Description Logics

Meghyn Bienvenu, Daniil Kozhemiachenko, Camille Bourgaux
article en

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.

Centre National de la Recherche Scientifique (FR), Institut national de recherche en sciences et technologies du numérique (FR), Université de Bordeaux (FR), International Research Center for Japanese Studies (JP), Laboratoire Bordelais de Recherche en Informatique (FR), Institut Polytechnique de Bordeaux (FR), Département d'Informatique (FR), Japanese-French Laboratory for Informatics (JP)
Agence Nationale de la Recherche
Openalex Percentile: Top 85%
Semantic Web and Ontologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Queries With Exact Truth Values in Paraconsistent Description Logics — Meghyn Bienvenu, Daniil Kozhemiachenko, et al. · (2024) | TGRS Research Map | TGRS