Title: Towards an automated system for intelligent screening of candidates for recruitment using ontology mapping (EXPERT)

Authors: V. Senthil Kumaran; A. Sankar

Addresses: Department of Applied Mathematics and Computational Sciences, PSG College of Technology, Peelamedu, Coimbatore 641 004, India ' Department of Computer Applications, PSG College of Technology, Peelamedu, Coimbatore 641 004, India

Abstract: Many e-recruitment tools for recruiting candidates for jobs have significantly spread in recent years. Companies often receive resumes from candidates using e-recruitment tools or via job portal for each job posting and manually short list qualified applicants. The existing e-recruitment tools have been mainly used for the storage of applicant contact data. In this paper, we present EXPERT, an intelligent tool for screening candidates for recruitment using ontology mapping. EXPERT has three phases in screening candidates for recruitment. In first phase, the system collects candidates' resumes and constructs ontology document for the features of the candidates. Job openings/job requirements are represented as ontology in the second phase and in third phase, EXPERT maps the job requirement ontology onto the candidate ontology document and retrieves the eligible candidates. Experiment results show that this model improves the accuracy of matching candidates with job requirement.

Keywords: candidate screening; job candidates; ontology mapping; intelligent recruitment; e-recruitment; online recruitment; electronic recruitment; candidate resumes; job openings; job requirements; candidate eligibility.

DOI: 10.1504/IJMSO.2013.054184

International Journal of Metadata, Semantics and Ontologies, 2013 Vol.8 No.1, pp.56 - 64

Received: 21 Jun 2012
Accepted: 25 Feb 2013

Published online: 28 May 2013 *

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