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Ontology-Based Approaches to Big Data Analytics

机译:基于本体的大数据分析方法

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The access to relevant information is one of the determining factors which directly influences on decision-making processes. Huge amounts of data have been accumulated by entities from large variety of sources in many different formats. Due to large amounts of information and continuous processes of generation of new parts, it is necessary to ensure the most effective way of information or data extraction and analysis. The Web of Data provides great opportunities for ontology-based services. The combination of ontology-based approaches and Big Data may help in solving some problems related to extraction of meaningful information from various sources. This paper presents the selected ontology-based approaches to Big Data analytics as well as a proposal of a procedure for ontology-based knowledge discovery.
机译:对相关信息的访问是直接影响决策过程的决定因素之一。巨大的数据被许多不同格式的各种来源的实体累积。由于大量信息和持续生成新部件的过程,有必要确保最有效的信息或数据提取方式和分析。数据网络为基于本体的服务提供了很大的机会。基于本体的方法和大数据的组合可以帮助解决与各种来源提取有意义信息相关的一些问题。本文提出了基于所选的本体论对大数据分析的方法以及基于本体的知识发现程序的提议。

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