Towards an ınformation extraction system based on ontology to match resumes and jobs

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dc.contributor.authorÇelik, Duygu
dc.contributor.authorKarakaş, A. Aşkın
dc.contributor.authorBal, Gülşen
dc.contributor.authorGültunca, Cem
dc.contributor.authorElçi, Atilla
dc.contributor.authorBuluz, Başak
dc.contributor.authorAlevli, Murat Can
dc.date.accessioned13.07.201910:50:10
dc.date.accessioned2019-07-16T08:22:50Z
dc.date.available13.07.201910:50:10
dc.date.available2019-07-16T08:22:50Z
dc.date.issued2013
dc.departmentMühendislik Fakültesi
dc.description2013 IEEE 37th Annual Computer Software and Applications Conference Workshops, COMPSACW 2013 -- 22 July 2013 through 26 July 2013 -- Kyoto -- 100165
dc.description.abstractWhile Internet takes up by far the most significant part of our daily lives, finding jobs/employees on the Internet has started to play a crucial role for job seekers and employers. Online recruitment websites and human resources consultancy and recruitment companies enable job seekers to create their résumé, a brief written formal document including job seeker's basic information such as personal information, educational information, work experience and qualifications in order to find and apply for desirable jobs, whereas they enable companies to find qualified employees they are looking for. However résumés may be written in many ways that make it difficult for online recruitment companies to keep these data in their relational databases. In this study, a project that Kariyer.net (largest online recruitment website in Turkey) and TUBITAK (The Scientific and Technological Research Council of Turkey) have been jointly working is proposed. In this mentioned project, a system enables free structured format of résumés to transform into an ontological structure model. The produced system based on ontological structure model and called Ontology based Résumé Parser (ORP) will be tested on a number of Turkish and English résumés. The proposed system will be kept in Semantic Web approach that provides companies to find expert finding in an efficient way.
dc.identifier.doi10.1109/COMPSACW.2013.60
dc.identifier.endpage338en_US
dc.identifier.isbn9780769549873
dc.identifier.issn0730-3157
dc.identifier.scopusqualityQ4
dc.identifier.startpage333en_US
dc.identifier.urihttps://dx.doi.org/10.1109/COMPSACW.2013.60
dc.identifier.urihttps://hdl.handle.net/20.500.12451/2653
dc.indekslendigikaynakScopus
dc.language.isoen
dc.relation.ispartofProceedings - International Computer Software and Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/embargoedAccess
dc.subjectCurriculum Vitae
dc.subjectInformation Extraction
dc.subjectOntology
dc.subjectRésumé
dc.subjectSemantic Web
dc.titleTowards an ınformation extraction system based on ontology to match resumes and jobs
dc.typeConference Object

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