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Semantic Web Requirements Through Web Mining Techniques

机译:通过Web挖掘技术实现语义Web需求

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摘要

In recent years, Semantic Web has become a topic of active research in several fields of computer science and has applied in a wide range of domains such as bioinformatics, life sciences, and knowledge management. The two fast-developing research areas Semantic Web and Web Mining can complement each other and their different techniques can be used jointly or separately to solve the issues in both areas. In addition, since shifting from current Web to Semantic Web mainly depends on the enhancement of knowledge, Web Mining can play a key role in facing numerous challenges of this changing. In this paper, we analyze and classify the application of divers Web Mining techniques in different challenges of the Semantic Web in form of an analytical framework.
机译:近年来,语义网已成为计算机科学多个领域中积极研究的主题,并且已在生物信息学,生命科学和知识管理等广泛领域中得到应用。语义网和Web挖掘这两个快速发展的研究领域可以互补,它们的不同技术可以结合使用或分别使用,以解决这两个领域的问题。另外,由于从当前Web转移到语义Web主要取决于知识的增强,因此Web Mining在面对这种变化的众多挑战中可以发挥关键作用。在本文中,我们以分析框架的形式对各种Web挖掘技术在语义Web的不同挑战中的应用进行了分析和分类。

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