A Review on Semantic Web and Recent Trends in Its Applications
A Review on Semantic Web and Recent Trends in Its Applications
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DOI：
10.1109/icsc.2014.57
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发表时间：
2014-06
期刊：
影响因子：
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通讯作者：
Oguzhan Menemencioglu;I. M. Orak
中科院分区：
文献类型：
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作者：
Oguzhan Menemencioglu;I. M. Orak
语义网致力于产生机器可读的数据。因此，语义网的目标是克服所包含的数据量。访问Web上存在的数据的最重要的工具是搜索引擎。面对由Web上现有页面组成的数据量，传统的搜索引擎是不够的。语义搜索引擎是对传统搜索引擎的扩展和改进。本文概述了语义网、传统搜索引擎和语义搜索引擎的概念和基础结构。详细介绍了语义搜索的方法及其与传统方法的区别。通过对这一领域的发展趋势的介绍，对文献进行了总结。在这方面，考虑了申请的类型和工作的领域。基于两个不同年份的数据，分析了这些点的变化趋势，并讨论了变化的影响。这表明，对语义网的评估仍在继续，新的应用和领域也在不断涌现。
Semantic web works on producing machine readable data. So semantic web aims to overcome the amount of data that is consisted. The most important tool to access the data which exist in web is the search engine. Traditional search engines are insufficient in the face of the amount of data that is consisted as a result of the existing pages on the web. Semantic search engines are extensions to traditional search engines and improved version. This paper summarizes semantic web, traditional and semantic search engine concepts and infrastructure. Also semantic search approaches and differences from traditional approach are detailed. A summary of the literature is provided by touching on the trends on this area. In this respect, type of applications and the areas worked for are considered. Based on the data for two different years, trend on these points are analyzed and impacts of changes are discussed. It shows that evaluation on the semantic web continues and new applications and areas are also emerging.