– This paper proposes a knowledge-based neurocomputing approach to extract and refine a set of linguistic rules from data. A neural network is designed along with its learning al...
Abstract. In this paper, we describe a framework for integrating workflow modelling techniques with a knowledge management approach that enables us to represent the problem-solving...
Juan Carlos Vidal, Manuel Lama, Alberto Bugar&iacu...
A Bayesian Knowledge Base is a generalization of traditional Bayesian Networks where nodes or groups of nodes have independence. In this paper we describe a method of generating a ...
This paper presents a definition question answering approach, which is capable of mining textual definitions from large collections of documents. In order to automatically identify...
The standard approach in AI to knowledge representation is to represent an agent's knowledge symbolically as a collection of formulas, which we can view as aknowledge base. A...
Ronald Fagin, Joseph Y. Halpern, Yoram Moses, Mosh...