SEMANTIC WEB APPROACHES IN E-RECRUITMENT: A SYSTEMATIC LITERATURE REVIEW

This paper aims to provide an overview about the efforts done in the last decade to automate the recruitment process carried out using the Internet, taking advantage of the benefits brought by the Semantic Web. A systematic literature review was conducted in order to highlight the common approaches used when trying to develop a semantic job matchmaking system, focusing mainly on the design of the human resource ontology. As the simple use of an ontology followed by the annotation of jobs and resumes has its shortcomings we concentrate on describing some of the proven strategies that were employed to improve the semantic matchmaking process, like the use of semantic clusters, query relaxation, under-qualified match and exploiting multiple semantic resources. In order to prove that the use of Semantic Web technologies in eRecruitment does achieve better results in the matching process, this paper gave an overview about the common methods applied to validate the proposed online recruitment systems.