DocumentCode :
2611053
Title :
A Mobile Service Application Platform with Chinese Short Message Based on Fuzzy Ontology for Employment of University Graduates
Author :
Hu, Xiangpei ; Wang, Zheng ; Zhai, Jun ; Wang, Jianjun
Author_Institution :
Dalian Univ. of Technol., Dalian, China
fYear :
2009
fDate :
27-28 June 2009
Firstpage :
164
Lastpage :
169
Abstract :
Employment of university graduates is important to the overall development of a country. Lack of an effective communication channel between labor supply and demand is one of the most important reasons that lead to the declining employment rate of university graduates. Aiming at this problem, a mobile service application platform is established in this paper. In order to handle uncertainty of employment information and knowledge, the platform adopts a fuzzy ontology model which is capable of fuzzy semantic retrieval and can select appropriate candidates from graduates for a job. Short messages generated from the mobile service application platform will be sent directly to the candidates who are selected by the fuzzy ontology model and likely to be employed by companies. Application of the platform shows that the fuzzy ontology model facilitates the semantic information retrieval and the platform increase the efficiency and accuracy of employment.
Keywords :
electronic messaging; information retrieval; mobile computing; ontologies (artificial intelligence); fuzzy ontology model; labor supply and demand; mobile service application platform; semantic information retrieval; short messaging service; Communication effectiveness; Employment; Fuzzy sets; Fuzzy systems; Information retrieval; Labor resources; Message service; Mobile handsets; Ontologies; Uncertainty; chinese short message; employment of university graduates; fuzzy ontology; mobile service application platform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Business, 2009. ICMB 2009. Eighth International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-0-7695-3691-0
Type :
conf
DOI :
10.1109/ICMB.2009.36
Filename :
5169253
Link To Document :
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