Using ontology for resume annotation
Wahiba Ben Abdessalem Karaa Nouha Mhimdi

TL;DR
This paper proposes a semantic annotation approach for resumes using an ontology inspired by EUROPASS CV to improve automated candidate selection in recruitment processes.
Contribution
It introduces a novel ontology-based method for automatically annotating resumes to enhance e-recruitment systems.
Findings
Ontology effectively models resume content
Automatic annotation improves candidate filtering
Reduces recruitment processing time
Abstract
Employers collect a large number of resumes from job portals, or from the company's own website. These documents are used for an automated selection of candidates satisfying the requirements and therefore reducing recruitment costs. Various approaches for process documents have already been developed for recruitment. In this paper we present an approach based on semantic annotation of resumes for e-recruitment process. The most important task consists on modelling the semantic content of these documents using ontology. The ontology is built taking into account the most significant components of resumes inspired from the structure of EUROPASS CV. This ontology is thereafter used to annotate automatically the resumes.
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Taxonomy
TopicsSemantic Web and Ontologies · Business Process Modeling and Analysis · Service-Oriented Architecture and Web Services
