Towards FCA-facilitated Ontology-supported Recruitment Systems

Hui Ma, Sven Hartmann, Panrawee Vechsamutvaree
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引用次数: 3

Abstract

Human resources (HR) recruitment is still a major challenge for many organizations since HR recruitment officers need to spend lots of time and effort to find the best candidate from a large number of applicants for a job position. In this paper, we propose a new approach for ontology-supported web-based HR recruitment systems. Our approach is facilitated by Formal Concept Analysis (FCA) for constructing domain-specific ontologies to model position requirements and applicants’ competences. To evaluate our approach, we implement a prototype and conduct a case study. The case study demonstrates that the proposed approach has the potential to improve the effectiveness and efficiency of the HR recruitment process.
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迈向fca促进本体支持的招聘系统
人力资源(HR)招聘仍然是许多组织面临的主要挑战,因为人力资源招聘人员需要花费大量的时间和精力从大量的求职者中找到最佳人选。在本文中,我们提出了一种基于本体支持的基于web的人力资源招聘系统的新方法。我们的方法是通过形式概念分析(FCA)来构建特定领域的本体来建模职位要求和申请人的能力。为了评估我们的方法,我们实现了一个原型并进行了一个案例研究。案例研究表明,所提出的方法有可能提高人力资源招聘过程的有效性和效率。
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