A Survey on: Keyword Search and Similarity using RDF Schema

S. Gujrani, Phakatkar Ag
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Abstract

The increase in the world of internet and information has given rise to a lot of information stored on the web. All the information stored in the World Wide Web has semantics and relevance these days. Searching in this pool of information on the web is a very tedious task. Keyword search similarity is an important tool for exploring and searching large data repositories whose structure is either unknown, or constantly changing. The current existing systems define various techniques that work on searching the information semantically. These techniques have various limitations that give rise to many problems in the web. If the data is organized in a definite schema then the efficient results can be easily obtained. This paper focuses on various techniques that focuses on searching of keywords using RDF schema and obtaining similarity in the web using different techniques. The main focus is on the systems that use partitioning and graph-structured techniques for searching.
基于RDF模式的关键词搜索与相似研究综述
互联网和信息世界的增长导致大量信息存储在网络上。如今,万维网上存储的所有信息都具有语义和相关性。在网上搜索这个信息库是一项非常乏味的工作。关键字搜索相似度是探索和搜索结构未知或不断变化的大型数据存储库的重要工具。当前现有的系统定义了各种用于语义搜索信息的技术。这些技术有各种各样的局限性,导致了网络中的许多问题。如果将数据组织成明确的模式,则可以很容易地获得有效的结果。本文重点介绍了基于RDF模式的关键词搜索技术和基于不同技术的web相似度获取技术。主要关注的是使用分区和图结构技术进行搜索的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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