An ontology-based information extraction approach for résumés

Basit Öğe Kaydı
dc.contributor.authorÇelik, Duygu
dc.contributor.authorElçi, Atilla
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T08:23:03Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T08:23:03Z
dc.date.issued2013
dc.departmentMühendislik Fakültesi
dc.descriptionJoint International Conference on Pervasive Computing and the Networked World, ICPCA/SWS 2012 -- 28 November 2012 through 30 November 2012 -- Istanbul -- 95985
dc.description.abstractA 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.
dc.identifier.doi10.1007/978-3-642-37015-1_14
dc.identifier.endpage179en_US
dc.identifier.isbn9783642370144
dc.identifier.issn0302-9743
dc.identifier.scopusqualityQ3
dc.identifier.startpage165en_US
dc.identifier.urihttps://dx.doi.org/10.1007/978-3-642-37015-1_14
dc.identifier.urihttps://hdl.handle.net/20.500.12451/2695
dc.identifier.volume7719 LNCSen_US
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectInformation Extraction
dc.subjectRésumé
dc.subjectSemantic Search Agents
dc.subjectWeb Ontology Language
dc.subjectWeb Semantics
dc.titleAn ontology-based information extraction approach for résumés
dc.typeConference Object

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
[ X ]
İsim:
celik-duygu-2013.pdf
Boyut:
794.7 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

Bildiri ve Sunum Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu