Recommender systems engage user profiles and appropriate filtering techniques to assist users in finding more relevant information over the large volume of information. User profiles play an important role in the success of recommendation process since they model and represent the actual user needs. However, a comprehensive literature review of recommender systems has demonstrated no concrete s...

K OWLEDGE-BASED SYSTEMS have outgrown academic applications, and their widespread use in industry has boosted work on the methodology required to design, implement, and validate them. Although knowledge acquisition was a prominent focus of research and practice from the beginning of this industrial push, only recently have the issues of the KBS life cycle and verification and validation been pu...

The research work presented in this paper is about the design of a knowledge system architecture applied to oncology and relying on the semantic Web principles. The core of this architecture is a working knowledge system, called KASIMIR, using an object-based representation formalism and classification-based reasoning. The ontology editor PROTÉGÉ is connected with the KASIMIR system, and is ada...

In this paper, an Integrated C-Object Tool, namely ICOT, is proposed for knowledge-based programming. A major drawback of current rule-based expert system languages is that they have difficulty in handling composite objects as a unit of inference. An object-oriented model is a powerful alternative to complement the drawback. Each of these alone cannot capture all the semantics of knowledge, par...

In this contribution we argue that the methods of formal knowledge representation, especially description logics, first, are valuable tools for analyzing existing configuration systems and open problems in configuration systems research, second, should be used by developers in order to make clear statements about the performance of their systems, and third, can even directly be used for buildin...

The configuration of technical systems is one of the most successful application areas of knowledge-based systems. This article overviews and evaluates the developed representation technologies and problem-solving methods, successful application fields and software-tools for configuration of the last few years. Current research themes and perspectives for the application of knowledge-based syst...

A critical problem in robotic manufacturing is that the task of teaching robotics is rather time-consuming. This has become a serious problem in the present age of cost reduction. Collaboration with a company in the field has revealed that the root cause of this problem is that there is not a common knowledge base in this domain, which can serve as shared and reused knowledge. In robotic manufa...

Case Base Reasoning (CBR), which is characterized by its capability to capture past experience and knowledge for case matching in various applications, is an emerging and well-accepted approach in the implementation Knowledge Management (KM) systems. The data format of CBR belongs to the ‘free’ type and therefore is dissimilar to the traditional relational data model which emphasizes on specifi...

Knowledge management systems have been shown to increase creativity and innovation in the workplace. This study aims to find out if and how feelings matter in individuals’ knowledge management practices in knowledge-intensive firms. We develop and test a research model that explores the effects of intrinsic benefits (knowledge self-efficacy and perceived self-worth) on users’ commitment to know...

Making comparative judgments of intangible stimuli or criteria (e.g. the degree of an environmental hazard or pollution factors) involves not only imprecise or inexact knowledge but also inconsistency in our own judgements. The improvement of knowledge elicitation by controlling the inconsistency of experts’ judgments is not only desirable but absolutely necessary. Due to space limitations, the...