文章基本信息

标题：A New Framework for Matching Semantic Web Service Descriptions based On OWL-S Services
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作者：Chatchada kaewpruksapimon ; Roselina Sallehuddin ; Radziah Mohamad 等
期刊名称：International Journal of Advances in Soft Computing and Its Applications
印刷版ISSN：2074-8523
出版年度：2016
卷号：8
期号：2
出版社：International Center for Scientific Research and Studies
摘要：Nowadays, semantic web services are published and updated with growing demand for cloud computing. Since a single service is not capable of processing the increase of data and user's demand the improvement is necessary to match and rank semantic web service to achieve the user's goal. In the semantic web service framework, users’ request is the input to the system and output is ranking of semantic web service. It has become a limitation to match between requests with the semantic web service description. This paper proposes a new framework for matching and ranking semantic web service based on OWL-S. The proposed new framework can match the keyword in each task and ranking service. This framework is done by using performance ontology-based indexing. The result is obtained and the performance of the services for multiple requests has been measured.
关键词：Big data; Cloud Computing; Semantic Web Service; Selection Service.