基于无关概念过滤的云服务相似推理技术研究

ON CLOUD SERVICES SIMILARITY REASONING TECHNOLOGY BASED ON FILTERING UNRELATED CONCEPTS

随着云计算的兴起,各大IT解决方案及服务提供商都推出了自己的云计算系统,越来越多的中小企业也开始对外提供云服务。在日渐众多的云服务趋势中,用户想要快速有效找寻到合适的服务就变得更困难。在云本体的基础上,通过对用户输入云服务需求进行本体树对应节点上的概念泛化,推理出与用户需求相关的云本体概念,从而过滤掉包含无关概念的无关服务,对过滤后得到的云服务再利用相似推理计算出各自与用户需求的相似度,最终帮助用户挑选出最匹配的云服务。

With the rise of cloud computing, those influential IT solutions and services providers have all put forward their own cloud computing systems, more and more small and medium enterprises are also beginning to provide cloud services as well. It becomes more difficult for the user to find the most appropriate services quickly and effectively in increasingly numerous cloud services trend. Based on cloud ontology and through conceptual generalising the corresponding nodes of the ontology tree in regard to the cloud service needs of user inputs, we mason out the cloud ontology concept correlated to user-need. As a result, this filters the unrelated service containing the unrelated concepts, and for the cloud services after filtration, we then compute the similarities between them and the user-needs respectively using similarity reasoning, and finally help the user to choose the cloud service matching best.