A Distance-based Paraconsistent Semantics for DL-Lite
This addresses inconsistency issues in description logics for knowledge representation, but it appears incremental as it builds on existing DL-Lite frameworks.
The paper tackles inconsistency in DL-Lite knowledge bases by proposing a distance-based paraconsistent semantics, enabling rational conclusions from inconsistent data and demonstrating advantages in non-monotonic reasoning.
DL-Lite is an important family of description logics. Recently, there is an increasing interest in handling inconsistency in DL-Lite as the constraint imposed by a TBox can be easily violated by assertions in ABox in DL-Lite. In this paper, we present a distance-based paraconsistent semantics based on the notion of feature in DL-Lite, which provides a novel way to rationally draw meaningful conclusions even from an inconsistent knowledge base. Finally, we investigate several important logical properties of this entailment relation based on the new semantics and show its promising advantages in non-monotonic reasoning for DL-Lite.