Semantic-based resume screening system

Yu Hou, Lixin Tao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

At present, XML becomes one of the best choices for storing semi-structured electronic resumes. Most of the companies let the candidates fill out their resumes online on the company’s website and store these electronic resumes uniformly. This paper assumes that all candidates’ electronic resumes will be saved in the form of XML, and proposed a Semantic-based Resume Screening System (RSS). The RSS could improve the accuracy and efficiency in the hiring process by using the Ontology Knowledge Base and the Pace XML Validator.

Original languageEnglish (US)
Title of host publicationProceedings of the Future Technologies Conference (FTC) 2018 - Volume 1
EditorsRahul Bhatia, Kohei Arai, Supriya Kapoor
PublisherSpringer Verlag
Pages649-658
Number of pages10
ISBN (Print)9783030026851
DOIs
StatePublished - 2019
Externally publishedYes
EventFuture Technologies Conference, FTC 2018 - Vancouver, BC, Canada
Duration: Nov 15 2018Nov 16 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume880
ISSN (Print)2194-5357

Conference

ConferenceFuture Technologies Conference, FTC 2018
Country/TerritoryCanada
CityVancouver, BC
Period11/15/1811/16/18

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2019.

Keywords

  • Integrated syntax and semantic validation
  • Knowledge representation
  • Web Ontology Language (OWL)
  • XML

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