This article explores the utility of neural network ensembles in knowledge discovery and integration. A novel neural network ensemble model KBNNE (Knowledge-Based Neural Network E...
In this paper, we propose an adaptive approach to merging possibilistic knowledge bases that deploys multiple operators instead of a single operator in the merging process. The me...
Guilin Qi, Weiru Liu, David H. Glass, David A. Bel...
Abstract. In a previous paper, we have introduced an approach for extending both the terminological and the assertional part of a Description Logic knowledge base by using informat...
: This paper presents and discusses several methods for reasoning from inconsistent knowledge bases. A so-called argumentative-consequence relation, taking into account the existen...
Abstract. This paper presents AROM, a new object-based knowledge representation system. AROM is original in two ways. Firstly, in addition to classes, knowledge representation in A...