With the rapid development of service-oriented computing, a large number of software applications have been developed based on the services computing framework. It is well known that software engineering is a knowledge-intensive activity, and thus the effective management of service-related knowledge facilitates service-oriented software development. Although many methodologies have been proposed for service-oriented knowledge management, little attention has been paid to mining knowledge (especially domain-specific functionalities) from service resources. To address this issue, we propose an approach to mine domain knowledge on service goals (i.e., service functionalities) from textual descriptions of services. The approach consists of two components: service goal extraction from textual service descriptions based on linguistic analysis and domain service goal construction that merges semantically similar service goals within a domain. The effectiveness of the proposed approach is validated by a series of experiments conducted on a real-world dataset crawled from the ProgrammableWeb.

中文翻译：

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从文本服务描述中挖掘关于服务目标的领域知识

随着面向服务计算的快速发展，基于服务计算框架开发了大量的软件应用。众所周知，软件工程是一项知识密集型活动，因此对服务相关知识的有效管理有利于面向服务的软件开发。尽管已经提出了许多用于面向服务的知识管理的方法，但很少有人关注从服务资源中挖掘知识（尤其是特定领域的功能）。为了解决这个问题，我们提出了一种从服务的文本描述中挖掘服务目标（即服务功能）领域知识的方法。该方法由两个部分组成：基于语言分析和领域服务目标构建从文本服务描述中提取服务目标，将语义相似的服务目标合并到一个领域内。在从 ProgrammableWeb 爬取的真实世界数据集上进行的一系列实验验证了所提出方法的有效性。