基于聚类和蚁群算法的语义Web服务组合优化方法
An Optimized Semantic Web Service Composition Method Based on Clustering and Ant Colony Algorithm
摘要：
在今天的Web中，Web服务是动态创建和更新的。为了满足用户的复杂需求，需要在现有Web服务的基础上构建新的Web服务。它受到了不同社区的极大关注。这个问题被称为Web服务组合。然而，在分布式、动态的环境中，它是近年来面临的重大挑战之一。Web服务可以手动组合，但这是一项耗时的任务。Web服务自动组合是未来语义Web的关键特征之一。研究者提出的各种Web服务组合方法。在本文中，我们提出了一种新的架构，语义Web服务组合使用聚类和蚁群算法。
英文摘要：
In today's Web, Web Services are created and updated on the fly. For answering complex needs of users, the construction of new web services based on existing ones is required. It has received a great attention from different communities. This problem is known as web services composition. However, it is one of big challenge problems of recent years in a distributed and dynamic environment. Web services can be composed manually but it is a time consuming task. The automatic web service composition is one of the key features for future the semantic web. The various approaches in field of web service compositions proposed by the researchers. In this paper, we propose a novel architecture for semantic web service composition using clustering and Ant colony algorithm.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
