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 language | English (US) |
---|---|
Title of host publication | Proceedings of the Future Technologies Conference (FTC) 2018 - Volume 1 |
Editors | Rahul Bhatia, Kohei Arai, Supriya Kapoor |
Publisher | Springer Verlag |
Pages | 649-658 |
Number of pages | 10 |
ISBN (Print) | 9783030026851 |
DOIs | |
State | Published - 2019 |
Externally published | Yes |
Event | Future Technologies Conference, FTC 2018 - Vancouver, BC, Canada Duration: Nov 15 2018 → Nov 16 2018 |
Publication series
Name | Advances in Intelligent Systems and Computing |
---|---|
Volume | 880 |
ISSN (Print) | 2194-5357 |
Conference
Conference | Future Technologies Conference, FTC 2018 |
---|---|
Country/Territory | Canada |
City | Vancouver, BC |
Period | 11/15/18 → 11/16/18 |
Bibliographical note
Publisher Copyright:© Springer Nature Switzerland AG 2019.
Keywords
- Integrated syntax and semantic validation
- Knowledge representation
- Web Ontology Language (OWL)
- XML