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Focused Crawling for Automatic Service Discovery, Annotation, and Classification in Industrial Digital Ecosystems

机译:针对工业数字生态系统中的自动服务发现,注释和分类的集中爬网

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摘要

Digital Ecosystems make use of Service Factories for service entities' publishing, classification, and management. However, before the emergence of Digital Ecosystems, there existed ubiquitous and heterogeneous service information in the Business Ecosystems environment. Therefore, dealing with the preexisting service information becomes a crucial issue in Digital Ecosystems. This issue has not been addressed previously in the literature. In order to resolve this issue, in this paper, we present a conceptual framework for a semantic focused crawler, with the purpose of automatically discovering, annotating, and classifying the service information with the Semantic Web technologies. The technical and evaluation details of the framework are also presented and discussed in this paper.
机译:数字生态系统利用服务工厂进行服务实体的发布,分类和管理。但是,在数字生态系统出现之前,商业生态系统环境中已经存在无处不在的异构服务信息。因此,处理预先存在的服务信息已成为数字生态系统中的关键问题。以前文献中未解决此问题。为了解决这个问题,在本文中,我们提出了一个针对语义的爬虫的概念框架,目的是利用语义Web技术自动发现,注释和分类服务信息。本文还介绍并讨论了该框架的技术和评估细节。

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