استخدام الذكاء الاصطناعي في تطبيقات إدارة المعرفة للهيئة العامة للأرصاد و حماية البيئة في المملكة العربية السعودية

Abstract EN

The current study focuses on finding out the possibility of designing artificial intelligence (A1) models using the knowledge management (KM) applications of the General Authority of Meteorology and Environmental Protection (GAMEP) in the Kingdom of Saudi Arabia.

The study aims to identify the extent of the use of knowledge management applications and the documentation of the tacit knowledge in the field of the environment.

The Documentional methods was used to extract the criteria for the tacit knowledge, followed by using the case study approach, content analysis and evaluation method for the website of the (GAMEP) as a diagnostic methods for its existing state.

One of the most important results of this evaluation study was that the sources of formal knowledge are available at a higher rate than the average, while documenting the tacit knowledge is very low.

The study found that the domains of knowledge management are concerned only with empowering knowledge and organizational culture with 67% compared to not applying with 33% only because they are not measuring their intellectual capital as a learning organization.

As for the applying of KM processes in the (GAMEP), they all reached more than the average, and that the lowest availability rate among the processes of knowledge management are the organization and the diagnosis of knowledge, while the most available ones are the store and sharing and then the generation of knowledge.

The study recommended that attention should be paid to knowledge diagnosis processes such as: identifying individuals with knowledge before performing the task, offering platforms for lessons learned, and supporting employees participation to convert their tacit knowledge into explicit, As well as the need to pay attention to A1 methods in the processes of organizing knowledge, such as: the use of a specialized team to organize the knowledge, Utilizing Faceted Classification software that allows the user to retrieve information easily, using semantic web technologies via ontology that defines the relationships between concepts to improve information retrieval and sharing within the enterprise systems, building knowledge repositories and register the lessons learned and success stories and sharing them in KM systems, using artificial neural networks to enhance knowledge sharing that determines the relationships between large amounts of data, and integrating KM processes with Al.