earticle

영어

Quality of Web Service (QoWS) measure is crucial for selecting web services to take part in seamless and dynamic integration of business applications on the web. However, since QoWS are often influenced by several factors, traditional approaches are not very efficient and effective in measuring QoWS. The authors introduce in this study a novel QoWS measure approach to efficiently measure QoWS for web service recommendation and selection. The core of this approach is to take the five factors, that is, price, latency, accessibility, accuracy, and reputation into QoWS measure. The experimental results demonstrate that the proposed approach is efficient and effective in measuring QoWS.