This paper gives an overview about the development of the field of Knowledge Engineering over the last 15 years. We discuss the paradigm shift from a transfer view to a modeling view and describe two approaches which considerably shaped research in Knowledge Engineering: Role-limiting Methods

: Knowledge Engineering is the aspect of systems engineering which addresses uncertain process requirements by emphasising the acquisition of knowledge about a process and representing this knowledge in a Knowledge Based System. The discipline has moved from one producing small expert systems

The discipline of knowledge engineering grew out of the early work on expert systems in the seventies. With the growing popularity of knowledge-based systems (as these were by then called), there arose also a need for a systematic approach for building such systems, similar to methodologies in main

The discipline of knowledge engineering grew out of the early work on expert systems in the seventies. With the growing popularity of knowledge-based systems (as these were by then called), there arose also a need for a systematic approach for building such systems, similar to methodologies in main

While knowledge is viewed by many as an asset, it is often difficult to locate particular items within a large electronic corpus. This paper presents an agent based framework for the location of resources to resolve a specific query, and considers the associated design issue. Aspects of the work

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© 1988, '93 R.P. Ogilvie

Cognitive issues in software engineering are relatively well-documented and well-understood when compared with the domain of knowledge engineering. Current knowledge engineering tools often feature high barriers to the use and re-use of both the tool and its products. An adoption-centric knowledge

The problem of representing temporal knowledge arises in many areas of computer science. In applications in which such knowledge is imprecise or relative, current representations based on date lines or time instants are inadequate. An interval-based temporal logic is introduced, together WiUl a

Continuous Knowledge Engineering is an alternative approach to knowledge engineering that embraces the philosophy that knowledge systems are open-ended, dynamic artefacts that develop through a learning process in reaction to their environment.