面向教育领域语义Web挖掘的企业架构

A. Nayak, J. Agarwal, V. K. Yadav, Shadab Pasha
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引用次数: 15

摘要

Web挖掘是利用数据挖掘技术从Web文档中自动交互和发现信息,这些信息可以是结构化、非结构化或半结构化的形式。网络已经成为研究人员和学生进行研究和教育相关活动的主要工具。有大量的信息和知识存在于网络上,等待着被发现、分享和利用。本文提出了一种面向培训机构的语义网和语义挖掘的企业web框架,该框架不仅可以提高语义网挖掘结果的质量,而且可以增强教育领域教育信息系统和标准的功能、服务和互操作性。在网络上挖掘教育信息,我们正在使用新的语义网络挖掘技术,如资源描述框架(RDF)和网络本体语言(OWL)。对于在线教育机构网站,需要建立两个重要的本体,一个本体描述所提供的所有教育服务,以及彼此之间的关系,另一个本体描述网站。因此,语义web本体有助于在教育机构中建立更好的web挖掘分析,而web挖掘反过来又有助于在教育中构建更强大的本体基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Enterprise Architecture for Semantic Web Mining in Education
Web mining is the use of data mining technologies to automatically interact and discover information from web documents, which can be in structured, unstructured or semi- structured form. The web has become a major vehicle in performing research and education related activities for researches and students. There is tremendous amount of information and knowledge existing on the web and waiting to be discovered, shared and utilized. We present an enterprise web framework regarding semantic web and mining in training institute, which can be used to not only improve the quality of web mining results but also enhances the functions and services and the interoperability of educational information systems and standards in the educational field. Mining the educational information on the web we are using new Semantic Web Mining technologies, such as Resource description Framework (RDF) and Web Ontology Language (OWL). For on line educational institute web site two important ontology’s would need to be built one ontology describing all the educational services provided, with the relation between each other and the other ontology describing the web site. Thus semantic web ontology help build better web mining analysis in educational institute and web mining in-turns helps contract basis more powerful ontology in education.
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