Building a problem solver and acquiring the knowledge needed to operate it are the two central goals of knowledge engineering. To achieve these goals, knowledge engineers construct models of the domain and of the task of interest. The various approaches used for modeling, however, have so far failed to define methods and techniques that can be applied across domains and tasks, and to produce mo...

This paper describes a knowledge model for a configuration problem in the domain of traffic control. The goal of this model is to help traffic engineers in the dynamic selection of a set of messages to be presented to drivers on variable message signals. This selection is done in a real-time context using data recorded by traffic detectors on motorways. The system follows an advanced knowledge-...

In 1991, the DARPA Knowledge Sharing Effort ([88], p. 37) envisioned a new way to build intelligent systems. It proposed the following: Building knowledge-based systems today usually entails constructing new knowledge bases from scratch. It could be instead done by assembling reusable components. System developers would then only need to worry about creating the specialized knowledge and reason...

Knowledge is one of the organization’s most important value, influencing its competitiveness. One way to capture organization’s knowledge and make it available to all their members is through the use of knowledge management systems. In this paper we discuss the importance of knowledge management in software development and we present an infrastructure to deal with knowledge management in softwa...

Usually, domain knowledge is available at different levels of formality, for example such as documents, data bases, and (business) rules. We argue, that today’s systems limit the knowledge engineering process to a fixed level of formality and expressiveness, respectively, and that these limitations hinder effective knowledge acquisition and use. In consequence, we introduce the knowledge formal...

We contend in this presentation that more sustainable and successful Knowledge Management (KM) solutions can be built by using the principles of Knowledge Engineering (KE) to understand knowledge in a more appropriate way. We will basically explore five aspects of practical knowledge relevant for promoting the essential Human Factors (HF) involved in KM tasks: the value and function of knowledg...

After the concept of industry cluster was tangibly applied in many countries, SMEs trended to link to each other to maintain their competitiveness in the market. The major key success factors of the cluster are knowledge sharing and collaboration between partners. This knowledge is collected in form of tacit and explicit knowledge from experts and institutions within the cluster. The objective ...

If you believe this document infringes copyright then please contact the KAR admin team with the take-down information provided at http://kar.kent.ac.uk/contact.html Citation for published version Chivers, Daniel and Rodgers, Peter (2015) Improving Search-Based Schematic Layout by Parameter Manipulation. International Journal of Software Engineering and Knowledge Engineering, 25 (6). pp. 961-99...

This paper presents a research in progress on the use of knowledge engineering and knowledge management techniques for the development of a strategic approach for the transfer of professional know-how. This transfer is based on the design of devices for sharing and learning clearly identified knowledge in the oil industry domains. This work is based on a pilot study which was carried out in the...