文章基本信息

标题：DISCOVERY AND INTEGRATION OF JOB MARKET SERVICE USING SEMANTIC WEB SERVICE APPROACH
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作者：TEGUH SUSYANTO ; ZUHRAH
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：2
出版社：Journal of Theoretical and Applied
摘要：Nowadays, there have been many websites applying information services of job vacancy. However, they still have many weaknesses and have not been able to provide relevant information for the job seekers yet. One of the weaknesses is that there have not been any information sharing with other job fair websites, therefore the information of the job being offered is still very limited. The presence of semantic web service technology makes any web services possible to be integrated dynamically. It is now possible to do the process of discovery, composition, invocation, and monitoring of web service automatically. This paper is using the technology of semantic web service to integrate several services on job fair information in the computer network. The conducted research was focused on the service discovery to support the searching and selecting of the relevant and reliable web service of job market. The method applied on the service discovery is combining the algorithm of semantic matching and simple additive weighting. The result of the testing is that the relevant and the best web service is found out based on the calculation of the similarity of the functional parameter and the service quality.
关键词：Web Service Integration; Semantic Web Service; Service Discovery; Job Market; Semantic Matching