We develop a new methodology and tool for knowledge acquisition under uncertainty. A new knowledge representation called Bayesian Knowledge Bases provides a powerful key to our approach and is well-grounded in probability theory. In this paper, we demonstrate the ease and flexibility with which knowledge acquisition can be accomplished while ensuring the consistency of the knowledge base as dat...

Received: 22 September 2011 Revised: 2 July 2012 Accepted: 17 October 2012 Abstract Numerous studies highlight the advantages of accessing knowledge from outside the firm as a means of enhancing the firm’s innovation efforts. However, access to external knowledge is not without organisational problems, including rejection of external knowledge by firm members or difficulties in applying such kn...

Introduction Knowledge elicitation consists of a set of techniques and methods that attempt to elicit the knowledge of a domain expert1, typically through some form of direct interaction with the expert. Knowledge elicitation is a sub-process of knowledge acquisition (which deals with the acquisition or capture of knowledge from any source), and knowledge acquisition is, in turn, a sub-process ...

Constructing a planner for a particular application is a diicult job, for which little concrete support is currently available. The literature on planning is overwhelming and there is no clear synthesis of the various planning methods which could be used by knowledge engineers. In this paper, we show how a general, knowledge-level framework for conceptually specifying knowledge-based systems, c...

To avoid the problem of knowledge acquisition bottleneck a process oriented method for knowledge acquisition was developed. The approach is based on so called scenarios. A scenario describes a certain step within the decision process to be elicited from the medical expert. By using scenario techniques the knowledge engineer is able to represent the elicited knowledge in a way that give both exp...

This paper describes how even a simple matcher, if it can detect simple relationships between statements in the knowledge base, will support many features that will make a knowledgebased consultation system appear to behave more intelligently. We describe three features that are useful during the knowledge acquisition phase (involving the building and testing of the knowledge base), and four fe...

In this paper we describe corporate memory which can support multiple knowledge acquisition, organization and maintenance tools. Memory holds and manages documents and related information and knowledge processed and created by such tools. Tools can work with several types of data such as documents, data in relational database and semantic data. Such diversity of information is needed due to dif...

Although constraints are useful to express semantic restrictions on object structures, Java provides little support for their implementation and evaluation. We argue that constraints should be specified explicitly, and propose a set of design patterns for the representation of constraints on JavaBeans. Object-oriented reflection is used to evaluate these constraints at run-time. We show how thi...