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Adaptive systems in the era of the semantic and social web, a survey

机译：语义和社交网络时代的自适应系统，一项调查

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摘要

In this paper we provide a classification of adaptive systems with respect to the kind of semantic technology they exploit to accomplish or improve specific adaptation and user modeling tasks. This classification is based on a distinction between strong semantic techniques and weak semantic techniques. The former are techniques based on the Semantic Web, while the latter regard technologies that, in different ways, annotate resources, enriching their meaning. This second category includes, in particular, Web 2.0 social annotations and mixed approaches between social annotations and Semantic Web techniques. While the impact of the Semantic Web on adaptive systems has been discussed in several survey papers, the potential of weak semantic technologies has, so far, received little attention. The aim of this analysis is to fill this gap. Therefore, we will discuss contributions and limits of both approaches, but we will focus special attention on weak semantic adaptive systems.
机译：在本文中，我们针对自适应系统所利用的语义技术的种类进行了分类，以利用它们来完成或改进特定的自适应和用户建模任务。该分类基于强语义技术和弱语义技术之间的区别。前者是基于语义Web的技术，而后者则以不同的方式注释资源并丰富其含义的技术。第二类尤其包括Web 2.0社交注释以及社交注释和语义Web技术之间的混合方法。尽管在几份调查报告中都讨论了语义网对自适应系统的影响，但迄今为止，弱语义技术的潜力几乎未受到关注。该分析的目的是填补这一空白。因此，我们将讨论两种方法的贡献和局限性，但我们将特别关注弱语义自适应系统。

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