We witness, today, a strong evolution of learning environments. In parallel, a problem has emerged, consisting in how to capitalize the production of resources when switching from one environment to another. The heterogeneity of the environments, the evolution of the platforms and the will to reuse the educational resources already produced pushed us to design an intelligent system based on cases. In this study, we will focus on the need for resource indexing to facilitate the task of researching and recommending educational resources for authors regardless of the learning environment used. In the literature, this representation can take two forms: Standards or ontologies. The use of standards has partially solved our problem since it is very beneficial for systems that are under construction. On the other hand, it is more interesting to go through the ontologies for systems that are already designed, that we wish to reuse, especially for those that have shown, through the authors, a great satisfaction in the field of knowledge management. Indeed, their use does not require an investment in the environments concerned by the reuse.
<p class="0papertitle">In both the private and public sectors, human resource management processes face considerable challenges in terms of skills management within organizations. In fact, during the recruitment process, it is difficult to find the right profile for certain functions. To cope with this constraint and thus streamline this process, organizations tend to implement intelligent management of jobs and skills. Most systems of matching a job with a profile face the difficulty of developing and maintaining resources specific to each field. In view of this, ontologies are not only a tool for professional management and strategic management of human resources, but they also make it possible to base the relationship between the couple job / profile. Thus, we propose a construction approach of three ontologies that will play a key role in knowledge management in the context of the Secrétariat Chargé De L’eau but which remains valid for later use in broader contexts.</p>
In order to identify the existence of an ontology of dependability, we conducted a bibliographic review. However, we encountered a real problem while researching and selecting articles that address this issue. Indeed the research process in various scientific databases with standard techniques involve the application of a number of manual and duplicative steps. This makes it a fairly costly and faulty process. To surmount these challenges, we offer a solution that automates search and selection items. The proposed solution is essentially derived from the popular method called systematic mapping. In this article, we suggest a Web Service as an implementation of our proposed approach. This Web Service will allow users to query scientific databases to obtain the metadata of selected articles. Our proposal will make the selection of scientific articles easier and faster.
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