A Fuzzy Query Approach to Human Resource Web Services

Author

Lien-Fu Lai ; Chao-Chin Wu ; Yi-Ta Hsieh ; Liang-Tsung Huang

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Changhua Univ. of Educ., Changhua, Taiwan

fYear

2013

fDate

11-13 Sept. 2013

Firstpage

461

Lastpage

466

Abstract

Most human resource websites apply SQL queries to find jobs or candidates, and users must state definite conditions to conduct database queries. We apply fuzzy logic theory and the service-oriented architecture to develop human resource web services. We propose a storing mechanism store fuzzy data into conventional database management systems without modifying DBMS models and a fuzzy query language for users to make fuzzy queries on fuzzy databases. Each fuzzy condition is related to a fuzzy importance to differentiate between fuzzy conditions according to their degrees of importance. We use the fuzzy weighted average to aggregate all fuzzy conditions based on their degrees of importance and degrees of matching. Finally, our proposed service-oriented architecture simultaneously makes fuzzy queries on several human resource websites to integrate the query results.

Keywords

SQL; Web services; Web sites; fuzzy logic; fuzzy set theory; human resource management; query processing; service-oriented architecture; DBMS models; SQL query; conventional database management systems; database query; fuzzy condition; fuzzy databases; fuzzy importance; fuzzy logic theory; fuzzy query approach; fuzzy query language; fuzzy weighted average; human resource Web services; human resource Web sites; service-oriented architecture; storing mechanism store fuzzy data; Cities and towns; Companies; Databases; Education; Remuneration; Standards; Web services; Fuzzy Query; Human Resource Websites; Web Services;

fLanguage

English

Publisher

ieee

Conference_Titel

e-Business Engineering (ICEBE), 2013 IEEE 10th International Conference on

Conference_Location

Coventry

Type

conf

DOI

10.1109/ICEBE.2013.72

Filename

6686305