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随着网络中Web服务的急剧增多,必须以服务库的形式组织服务,为了提高服务的查询效率,有必要对服务库中的服务进行预处理,使服务按有效形式组织起来.本文提出了一种基于RGPS的服务预处理方法,先基于领域本体和RGPS模型对服务聚类,然后根据常用的服务请求使用粒子群算法组合服务,使服务能快速和RGPS需求模型匹配,提高服务的查找效率.
With the rapid increase of web services in the network, the service must be organized in the form of service library. In order to improve the efficiency of service query, it is necessary to pre-process the service in the service library so that the service can be organized in a valid form. According to RGPS-based service preprocessing method, service clustering is first based on domain ontology and RGPS model, and then PSO is used to combine services according to common service requests so that service can be quickly matched with RGPS requirement model to improve service search efficiency.