Semantic Querying Big and Distributed RDF Data

Lamrani Kaoutar, A. Ghadi, Florent Kunalè Kudagba
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引用次数: 1

Abstract

Today, the Web knows a rapid increase in data level that makes their processing and storage limited in traditional technologies. That is why future technology tries to exploit the notion of semantics and ontology by adapting them to big data technology to allow a fundamental change in the access to voluminous information in the web. That Intended to have a complete and relevant response to the user request. Our research work focuses on the semantic web. Focus exactly on the semantic search on many data expressed by RDF (Resource Description Framework) in distributed system. The semantic language proposed by W3C (World Wide Web Consortium) provides the formalism necessary for the representation of data for the Semantic Web. However, only a knowledge representation format is insufficient and we need powerful response mechanisms to manage effectively global and distributed queries across a set of stand-alone and heterogeneous RDF resources marked by the dynamic and scalable nature of their content.
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语义查询大型和分布式RDF数据
今天,Web知道数据级别的快速增长使得它们的处理和存储在传统技术中受到限制。这就是为什么未来的技术试图利用语义和本体的概念,使它们适应大数据技术,从而从根本上改变对网络上大量信息的访问。目的是对用户的请求有一个完整的、相关的响应。我们的研究重点是语义网。重点关注分布式系统中以RDF (Resource Description Framework)表示的大量数据的语义搜索。W3C(万维网联盟)提出的语义语言为语义网的数据表示提供了必要的形式。然而,只有一种知识表示格式是不够的,我们需要强大的响应机制来有效地管理跨一组独立和异构RDF资源的全局和分布式查询,这些资源以其内容的动态和可伸缩特性为标志。
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