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Approaches for Real-Time Integration of Semantic Web Data in Distributed Enterprise Systems

机译:分布式企业系统中语义Web数据的实时集成方法

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The widespread use of social platforms in contemporary organizations leads to the generation of large amount of content shared through various social tools. While Semantic Web technologies provide data integration capabilities the two major remaining challenges include real-time integration of social data and limit the information overload experienced by the knowledge workers through content personalization. This paper focuses on the former and presents a comparison of current practices in real-time integration of RDF data and their performance. We give an overview of popular architectural approaches and existing RDF update formats used for modeling changes in RDF data.
机译:社交平台在当代组织中的广泛使用导致生成了通过各种社交工具共享的大量内容。语义Web技术提供数据集成功能时,剩下的两个主要挑战包括社交数据的实时集成和限制知识工作者通过内容个性化实现的信息过载。本文侧重于前者,并提出了RDF数据实时集成及其性能方面的当前实践的比较。我们概述了流行的架构方法以及用于对RDF数据中的更改进行建模的现有RDF更新格式。

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