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dc.contributor.authorAfir, Sofiane-
dc.contributor.authorBoumechta, Med Issam Eddine-
dc.date.accessioned2021-10-26T13:59:31Z-
dc.date.available2021-10-26T13:59:31Z-
dc.date.issued2021-
dc.identifier.urihttp://di.univ-blida.dz:8080/jspui/handle/123456789/12504-
dc.descriptionill., Bibliogr.fr_FR
dc.description.abstractKnowledge is power. Each organization try to manage their knowledge as much as possible to use it in order to determine and achieve their objectives. The knowledge acquisition is one of the most important process in Knowledge Management. It allows to acquire crucial tacit and explic it organizational knowledge within the company. The objective of this process is to acquire knowledge from knowledge holders such as domain experts, employees, managers... and from heterogenous explicit knowledges sources such documents, databases…. The main goal of our work which is proposed in this thesis is the definition of the Knowledge Acquisition process and discuss the impact of Cloud Computing paradigm to achieve the process within an organization. The proposed approach is mainly based on knowledge engineering and Cloud Computing. We developed a Knowledge Acquisition System for tacit and explicit knowledge acquisition. Tacit knowledge Acquisition is based on existing Tacit Knowledge Acquisition methods and knowledge modeling. Explic it Knowledge Acquisition is based on the Knowledge Discovery form Data process and Data Mining technics as we focus on knowledge embedded in operational databases. We validate the proposed system through a case study. Key words: Knowledge Management, Knowledge Models, Knowledge Acquisition Process, Knowledge Engineering, Data Mining, Cloud Computing.fr_FR
dc.language.isoenfr_FR
dc.publisherUniversité Blida 1fr_FR
dc.subjectKnowledge Managementfr_FR
dc.subjectKnowledge Modelsfr_FR
dc.subjectKnowledge Acquisition Processfr_FR
dc.subjectKnowledge Engineeringfr_FR
dc.subjectData Miningfr_FR
dc.subjectCloud Computingfr_FR
dc.titleImplementation of Organizational Knowledge Acquisition services in Cloud Computing environment based on knowledge engineeringfr_FR
dc.typeThesisfr_FR
Collection(s) :Mémoires de Master

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