Towards a semantic-based information extraction system for matching résumés to job openings

Authors

DUYGU ÇELİK

DOI

10.3906/elk-1304-130

Abstract

A curriculum vitae or a résumé, in general, consists of personal details, education, work experience, qualifications, and references. The overall objective of this study was to extract such data as experience, features, and business and education information from résumés stored in human resources repositories. In this article, we propose an ontology-driven information extraction system that is planned to operate on several million free-format textual résumés to convert them to a structured and semantically enriched version for use in semantic data mining of data essential in human resources processes. The architecture and working mechanism of the system, similarity of the concept and matching techniques, and an inference mechanism are introduced, and a case study is presented.

Keywords

Web semantics, web ontology language, résumé, semantic search agents, information extraction

First Page

141

Last Page

159

Recommended Citation

ÇELİK, DUYGU (2016) "Towards a semantic-based information extraction system for matching résumés to job openings," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 24: No. 1, Article 11. https://doi.org/10.3906/elk-1304-130
Available at: https://journals.tubitak.gov.tr/elektrik/vol24/iss1/11