Our research project intends to build knowledge about HPC problems to be able to help local researchers. In the general case, researchers who consult us do not own the sources to the parallel programs they run. In order to advise…

In these days most robotic systems tend to be complex to maintain and reuse because existing frameworks are based mainly on code-driven approaches. This means the software development process is reduced to the implementation of systems using specific programming languages.…

This study attempts to conceptualise the right to forget/be forgotten along with building a theoretical foundation of this individual’s right and validating the social importance of establishing the right, which is characterised as a nearly fundamental human right to protect…

Robots have become usual collaborators in our daily life. While robotic systems grow to be more and more complex, the need to engineering their software development process grows as well. Traditional approaches that are used in the development process of…

Inheritance is one of the most important object-oriented mechanisms, allowing code reuse and a conceptual hierachical modelling of a given domain.
However, as a white-box reuse mechanism, it introduces hidden (implicit) coupling between classes in a hierarchy. This problem makes…

Knowledge acquisition for systems based on knowledge can be called knowledge engineering, according to Feigenbaum (1980) who used the term to describe the reduction of a wide context of knowledge for a set of facts and rules. The term Knowledge…

The appearance and continuous growth of virtual communities on the web imposes the challenge of coping with the large amount of information and knowledge these communities produce. The Semantic Web with its set of standards and technologies provides the basic…

Effective document retrieval using domain knowledge and semantics is one of the major challenges in Information Retrieval. Over the last years, there has been a growing interest in ontologies as an artifact for human knowledge representation and a critical component…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use of…

This study investigates an approach of knowledge discovery and data mining in insufficient databases. An application of Computational Taxonomy analysis demonstrates that the approach is effective in such a data mining process. The approach is characterized by the use ot…