Skill ontology-based semantic model and its matching algorithm

Author

Lv, Hexin ; Zhu, Bin

Author_Institution

Coll. of Inf. Sci. & Technol., Zhejiang Shuren Univ.

fYear

2006

fDate

17-19 Nov. 2006

Firstpage

1

Lastpage

4

Abstract

Ontology application for employment or HR management is becoming an increasingly important task with the development of semantic Web technologies. With the expanding scale of online-recruitment, such failures as low search efficiency, precision ratio, and recall ratio emerge and become worse. According to the actual state, we propose an intelligent recruitment platform with a skill ontology-based semantic model and its matching algorithm, by which recruitment Web sites can automatically find the most appropriate job-seekers for a certain job post and positions for a job-seeker. This framework of semantic matching can also be applied to some other fields such as computer aided industry design and manufacturing information engineering

Keywords

employment; ontologies (artificial intelligence); recruitment; semantic Web; string matching; HR management; computer aided industry design; employment; intelligent recruitment platform; manufacturing information engineering; online recruitment; semantic Web; semantic matching; skill ontology; Computer aided manufacturing; Computer industry; Design engineering; Employment; Human resource management; Manufacturing industries; Ontologies; Recruitment; Semantic Web; Technology management;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Aided Industrial Design and Conceptual Design, 2006. CAIDCD '06. 7th International Conference on

Conference_Location

Hangzhou

Print_ISBN

1-4244-0683-8

Electronic_ISBN

1-4244-0684-6

Type

conf

DOI

10.1109/CAIDCD.2006.329389

Filename

4127158