数字环境下web服务的自动语义分类与分类

V. Sawant, V. Ghorpade
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引用次数: 6

摘要

通过语义分类的web服务发现类似的服务事件将是服务的特征。然而,仅仅改善选择和匹配过程是不够的。现有的服务发现方法经常发布关键字匹配来查找web服务实践。本文提出了一种数字环境下web服务过程自动分类和分类的框架。该框架利用基于领域知识本体的分类,在数字环境下实现服务的语义自动发现和领域选择,以实现服务的快速分类。利用特定的服务领域知识,可以有效地对服务信息进行分类和标注。为了彻底评估我们提出的基于语义的自动服务发现爬虫的性能,我们测量了精度、平均精度、召回率和f测量率。
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Automatic semantic classification and categorization of web services in digital environment
Classification of web services through semantic service discovery of a similar event will be the feature services. However, to improve the selection and matching process is not enough. The existing service discovery approaches often published keyword matching to find web services practices. In this paper we propose a framework for automatic service classification and categorization of web service process in digital environment. The proposed framework semantically perform automated service discovery and domain selection using domain-knowledge ontology based classification in a digital environment to improvise the service categorization. It is efficiently able to classify and annotated service information by means of specific service domain knowledge. In order to thoroughly evaluate the performance of our proposed semantic based crawlers for automatic service discovery, we measure the Precision, Mean Average Precision, Recall and F-measure Rates.
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