Framework of specific information search protocol
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Since the Internet is a large resource of information that is important to a vast number of people, search engines are implemented for accessing the required resources over the Internet. Every search engine allows users to enter keywords in the search field for searching. Unfortunately, searching by keyword is usually not specific. When users do not know appropriate keywords, the search result is generally a long list of information, much of it irrelevant. Therefore, the protocol named Information Search Protocol (ISP) is proposed. The ISP enables users to enter a partial part of the required URL and keywords; the ISP can narrow down the search. However, the original ISP cannot perform an image search and it has a defect of the routing module that causes network congestion. Therefore, this research proposes the image search mechanism and routing algorithm to apply to the ISP. Since the ISP is modified in all mechanisms, the new version of the ISP is called Specific Information Search Protocol (SISP). The image extraction of the image search mechanism is implemented using Color Region Correlation (CRC). Moreover, this research is also proposing a Patrol Packet (PTP) Algorithm to solve the routing problem. The search result of the SISP is specific. In addition to more effective searches, the PTP can significantly reduce the congestion caused. Therefore, the SISP is a performance search protocol.
由于互联网是面向海量人群的重要大型信息资源库,搜索引擎应运而生,用于在互联网中检索所需资源。所有搜索引擎均支持用户在搜索框输入关键词进行检索,但基于关键词的检索通常缺乏精准性。当用户无法确定合适的关键词时,检索结果往往是冗长的信息列表,其中大量内容与需求无关。为此,本研究提出信息搜索协议(Information Search Protocol, ISP),支持用户输入目标资源的部分URL与关键词,以此缩小检索范围。但原始ISP无法支持图像检索,且其路由模块存在缺陷,易引发网络拥塞。为此,本研究提出适用于ISP的图像检索机制与路由算法。由于对ISP的全流程机制进行了改进,新版本ISP被命名为专用信息搜索协议(Specific Information Search Protocol, SISP)。该图像检索机制的图像提取模块采用颜色区域相关性(Color Region Correlation, CRC)算法实现。此外,本研究还提出巡逻分组(Patrol Packet, PTP)算法以解决路由问题。SISP的检索结果具备高度精准性,不仅实现了更高效的检索,且PTP算法可显著降低拥塞问题。因此,SISP是一款高性能的检索协议。



