基于图的多领域搜索引擎设计新方法

Debajyoti Mukhopadhyay, Sukanta Sinha
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引用次数: 16

摘要

搜索引擎已经成为从万维网(WWW)上搜索任何信息的主要工具。在WWW上搜索庞大的数字图书馆时,我们尽一切努力检索最相关的结果。但是在WWW中,大多数网页都是HTML格式的,并且没有这样的标签,这告诉爬虫找到任何特定的域。为了找到更相关的结果,我们对特定领域使用本体。如果我们处理多个领域,那么我们使用多个本体。目前,为了设计面向多个领域的特定领域搜索引擎,爬虫程序必须根据预定义的本体在WWW中对特定领域的网页进行爬行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Approach to Design Graph Based Search Engine for Multiple Domains Using Different Ontologies
Search engine has become a major tool for searching any information from the World Wide Web (WWW). While searching the huge digital library available in the WWW, every effort is made to retrieve the most relevant results. But in WWW majority of the Web pages are in HTML format and there are no such tags, which tells the crawler to find any specific domain. To find more relevant result we use Ontology for that particular domain. If we are working with multiple domains then we use multiple ontologies. Now in order to design a domain specific search engine for multiple domains, crawler must crawl through the domain specific Web pages in the WWW according to the predefined ontologies.
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