Mining service abstractions: NIER track

Dionysis Athanasopoulos, A. Zarras, Panos Vassiliadis, V. Issarny
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引用次数: 12

Abstract

Several lines of research rely on the concept of service abstractions to enable the organization, the composition and the adaptation of services. However, what is still missing, is a systematic approach for extracting service abstractions out of the vast amount of services that are available all over the Web. To deal with this issue, we propose an approach for mining service abstractions, based on an agglomerative clustering algorithm. Our experimental findings suggest that the approach is promising and can serve as a basis for future research.
挖掘服务抽象:NIER轨道
一些研究依赖于服务抽象的概念来实现服务的组织、组合和适应。然而,仍然缺少一种从Web上可用的大量服务中提取服务抽象的系统方法。为了解决这个问题,我们提出了一种基于聚合聚类算法的服务抽象挖掘方法。我们的实验结果表明,该方法是有前途的,可以作为未来研究的基础。
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