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Enriching Web Services Tags to Improve Data-Driven Web Services Composition

机译:丰富Web服务标签以改进数据驱动的Web服务组合

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摘要

Due to the large number of existing services and complexity of manual composition, automatic service composition is provided to enable automatic search of the service compositions for the given queries. Many solutions for automatic service composition have been developed, including integer programming, graph planning, artificial intelligence, and so on in this paper, a heuristic method is proposed to improve the data-driven composition of web services by enriching tags based on tags semantic. To do so, firstly, useful information on web services is collected from various sources and is turned into collections of tags. In the next step, using the hierarchical clustering algorithm, the tags are clustered based on semantic similarity. Thereafter, for services which do not have enough tags, enrichment of the tag is carried out and finally, using an algorithm, composition solutions based on QoS parameters are extracted, which can formulate user targets or even provide potential compositions. Moreover, a series of tests were conducted on the web services, which validate the efficiency of the proposed approach. The experimental results confirm the effectiveness of the proposed service composition method and high quality of tag enriching strategies.
机译:由于现有服务的大量服务和手动组成的复杂性,提供了自动服务组合以实现对给定查询的服务组合物自动搜索。已经开发了许多用于自动服务组成的解决方案,包括整数编程,图形规划,人工智能等本文,提出了一种启发式方法,以通过基于标签语义来提高标签来改善网络服务的数据驱动组成。为此,首先,从各种来源收集有关Web服务的有用信息,并将其变成标签集合。在下一步中,使用分层聚类算法,基于语义相似性群集标记。此后,对于没有足够标签的服务,对标签的富集进行,最后使用算法,提取基于QoS参数的组合物溶液,其可以制定用户靶或甚至提供潜在的组合物。此外,在Web服务上进行了一系列测试,验证了所提出的方法的效率。实验结果证实了拟议的服务组合方法和高质量的丰富策略的有效性。

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