基于本体的mooc数据电子招聘知识管理模型

Zainab Javed, Hareem Qazi, S. Khoja
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引用次数: 0

摘要

近年来,知识管理在组织学习环境中的作用和重要性已经变得非常明显。本文旨在介绍基于本体的知识管理方法在电子招聘平台开发过程中的实施。该方法的建模方式可以帮助雇主根据组织的期望要求进行招聘,并有效利用mooc数据。对于最终用户,开发的本体将能够根据职位职位所需的功能向电子招聘人员推荐候选人,同样,完成MOOC的学生或合格候选人将能够根据他们感兴趣的领域查看职位空缺。所提出的模型还纳入了学生的数据,包括各种mooc所需的入学、成绩和技能信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Ontology-based Knowledge Management Model for e-Recruitment utilizing MOOCs Data
In the recent past, the role and importance of Knowledge Management have become very visible in an organizational learning environment. This paper aims to cover the implementation of knowledge management in the process of development of e-recruitment platform using an ontology-based approach. The approach has been modeled in such a way that it can facilitate employers for hiring and recruiting purposes as per the organization's desired requirements with an effective utilization of MOOCs data. For the end-users, the developed ontology will be able to recommend candidates to the e-recruiter based on the required functions of the job post, and similarly students or eligible candidates who have completed MOOC will be able to view job vacancies based on their field of interest. The proposed model also incorporates the data of students, including the required information about the enrollment, grades, and skills attained in various MOOCs.
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