Towards an automated system for intelligent screening of candidates for recruitment using ontology mapping (EXPERT). (1st January 2013)

• Record Type: Journal Article
• Authors: Senthil Kumaran, V.; Sankar, A.
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 8:Number 1(2013)
• Page Start: 56
• Page End: 64
• Publication Date: 2013-01-01
• Subjects: screening candidates -- ontology -- ontology mapping -- intelligent e-recruitment; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• Languages: English
• ISSNs: 1744-2621

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.