An ontology-based intelligent system for recruitment

An ontology-based intelligent system for recruitment Nowadays, employment has a huge social importance. Current tools for facilitating job searches lack in providing intelligent matching between employer advertisements and the curriculum vitae of the candidates. The objective of this research work was to develop an intelligent web portal to serve as service provider in recruitment tasks. This portal aims at helping people living in the region of the South-east of Spain to find a job. For this purpose, the knowledge of the recruitment domain has been represented by means of ontology, which has been used to guide the design of the application and to supply the system with semantic capabilities. Furthermore, the ontological component allows for defining an ontology-guided search engine which provides more intelligent matches between job offers and candidates' curricula. Finally, this work covers the design of the ontology and the development of the web portal. Both issues are discussed and some validation results are presented. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Expert Systems with Applications Elsevier

Loading next page...
 
/lp/elsevier/an-ontology-based-intelligent-system-for-recruitment-IbuxPKJX0p
Publisher
Elsevier
Copyright
Copyright © 2005 Elsevier Ltd
ISSN
0957-4174
D.O.I.
10.1016/j.eswa.2005.09.023
Publisher site
See Article on Publisher Site

Abstract

Nowadays, employment has a huge social importance. Current tools for facilitating job searches lack in providing intelligent matching between employer advertisements and the curriculum vitae of the candidates. The objective of this research work was to develop an intelligent web portal to serve as service provider in recruitment tasks. This portal aims at helping people living in the region of the South-east of Spain to find a job. For this purpose, the knowledge of the recruitment domain has been represented by means of ontology, which has been used to guide the design of the application and to supply the system with semantic capabilities. Furthermore, the ontological component allows for defining an ontology-guided search engine which provides more intelligent matches between job offers and candidates' curricula. Finally, this work covers the design of the ontology and the development of the web portal. Both issues are discussed and some validation results are presented.

Journal

Expert Systems with ApplicationsElsevier

Published: Aug 1, 2006

References

  • A taxonomy of part–Whole relations
    Winston, M.; Chaffin, R.; Hrrmann, D.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off