An ontology-based information extraction approach for résumés
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Dosyalar
Tarih
2013
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
A Curriculum Vitae (CV) or a résumé, in general, consists of personal information, education information, work experience, qualifications and preferences parts. Scanning or making structural transformation of the millions of free-formatted résumés from the databases of companies / institutions with human factor will result in the loss of too much time and human effort. In the literature, a limited number of studies have been done to change the résumés of the free-format to a structural format. The overall objective of the study is to infer required information such as user's experience, features, business and education from résumés of the potential user of a human resources system. In this article, we proposed an ontology driven information parsing system that is planned to operate on few millions of résumés to convert them structured format for the purpose of expert finding through the Semantic Web approach. © 2013 Springer-Verlag.
Açıklama
Joint International Conference on Pervasive Computing and the Networked World, ICPCA/SWS 2012 -- 28 November 2012 through 30 November 2012 -- Istanbul -- 95985
Anahtar Kelimeler
Information Extraction, Résumé, Semantic Search Agents, Web Ontology Language, Web Semantics
Kaynak
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
7719 LNCS
