Measuring Inconsistency for Description Logics Based on Paraconsistent Semantics

  • Authors:
  • Yue Ma;Guilin Qi;Pascal Hitzler;Zuoquan Lin

  • Affiliations:
  • Department of Information Science, Peking University, China and AIFB, Universität Karlsruhe, Germany;AIFB, Universität Karlsruhe, Germany;AIFB, Universität Karlsruhe, Germany;Department of Information Science, Peking University, China

  • Venue:
  • ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper, we present an approach for measuring inconsistency in a knowledge base. We first define the degree of inconsistency using a four-valued semantics for the description logic $\mathcal{ALC}$. Then an ordering over knowledge bases is given by considering their inconsistency degrees. Our measure of inconsistency can provide important information for inconsistency handling.