首页> 外文期刊>International Journal of Information Technology and Computer Science >A Study on Semantic Searching, Semantic Search Engines and Technologies Used for Semantic Search Engines
【24h】

A Study on Semantic Searching, Semantic Search Engines and Technologies Used for Semantic Search Engines

机译:用于语义搜索引擎的语义搜索,语义搜索引擎和技术的研究

获取原文
           

摘要

Semantic search engines(SSE) are more efficient than other web engines because in this era of busy life everyone wants an exact answer to his question which only semantic engines can provide. The immense increase in the volume of data, traditional search engines has increased the number of answers to satisfy the user. This creates the problem to search for the desired answer. To solve this problem, the trend of developing semantic search engines is increasing day by day. Semantic search engines work to extract the best answer of user queries which exactly fits with it. Traditional search engines are keyword based which means that they do not know the meaning of the words which we type in our queries. Due to this reason, the semantic search engines super pass the conventional search engines because they give us meaningful and well-defined information. In this paper, we will discuss the background of Semantic searching, about semantic search engines; the technology used for the semantic search engines and some of the existing semantic search engines on various factors are compared.
机译:语义搜索引擎(SSE)比其他网发动机更效率,因为在这个繁忙的生活中,每个人都希望对他的问题进行确切的答案,只有语义发动机可以提供。数据量的巨大增加,传统搜索引擎增加了满足用户的答案次数。这将创建要搜索所需答案的问题。为了解决这个问题,开发语义搜索引擎的趋势日益增加。语义搜索引擎的工作要提取完全适合它的用户查询的最佳答案。传统的搜索引擎是基于关键词,这意味着它们不知道我们输入我们查询的单词的含义。由于这个原因,语义搜索引擎超级通过了传统的搜索引擎,因为它们给了我们有意义和明确的信息。在本文中,我们将讨论语义搜索的背景,关于语义搜索引擎;比较了用于语义搜索引擎的技术和各种因素的一些现有的语义搜索引擎。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号