-Possibilistic logic and Bayesian networks have provided advantageous methodologies and techniques for computerbased knowledge representation. This paper proposes a framework that combines these two disciplines to exploit their own advantages in uncertain and imprecise knowledge representation problems. The framework proposed is a possibilistic logic based one in which Bayesian nodes and their ...

Using the Web Ontology Language (OWL) for knowledge representation in the legal domain is very promising but has some limitations. The language is complex thus hard to comprehend, still decidability results in a limited expressiveness which may introduce serious problems in modelling. An aspect of limited expressiveness is the tree-model property of OWL, which can be overcome using rule formali...

This paper presents a learning-based representation of knowledge which is at the basis of the family of Disciple learning agents. It introduces a representation for concepts, generalization and specialization rules, different types of generalizations and specializations, and the representation of the main elements of a knowledge base, including partially learned concepts, problems, and rules. F...

This paper proposes an implementation of a learning system for training of engineers to material observation and analysis. First, we present the objectives of this application. Then, we propose a decomposition of the system in modules and we describe the knowledge representation and the software architecture. Last, we illustrate the architecture by giving an example of the tutoring session. key...

A method of capturing the complete knowledge of a process plant, for making system is proposed. Provisions have been made to acquire the knowledge of the plant in a hybrid way, which describes the domain-specific, heuristic and the control knowledge. The domain knowledge includes structural and behavioral information about a plant. The heuristic knowledge includes hypotheses regarding fault-loc...

ConceptLab is a spatial hypermedia environment for the representation, exploration, and manipulation of complex information spaces. It has the notion of a small knowledge base surrounded by a "semi-permeable membrane" through which access to the world of the Internet and other computing resources, both local and distributed, is possible. K E Y W O R D S : spatial hypertext, knowledge representa...

We present a new gene prioritization method that learns a probabilistic knowledge model from a knowledge base and free text research documents and exploits it to prioritize candidate genes. The knowledge model is represented by a network of associations among the domain entities (e.g., genes) and is extracted from a domain knowledge base (e.g., protein-protein interaction database) or a corpus ...

Building a large-scale knowledge base of engineering common sense is indispensable for the development of intelligent CAD systems. At The University of Tokyo, we have started a project to build a knowledge base of physical features in the domain of mechanical design. A physical feature is a qualitative representation of a physical phenomenon and related attributes. The physical feature database...

Research in cognitive psychology demonstrated that human knowledge is mostly stored by the connections between neurons rather than in the nervous cells themselves. The attempt to model such an idea leads to an interactive network, where information is represented by some set of neuromimetic descriptors. These descriptors can be either objectual or attributive, i.e. specifying an object or a pro...

We address the experiences of the DARPA High Performance Knowledge Bases (HPKB) (Cohen et al., 1998) project in practical knowledge representation. The purpose of the HPKB project was to develop new techniques for rapid development of knowledge bases. The goal of this paper is to describe several technical issues that arose in creation of practical KB content.