SE-LEGO:按需创建元搜索引擎

Zonghuan Wu, Vijay V. Raghavan, Chun Du, C. KomanduruSai, W. Meng, Hai He, Clement T. Yu
{"title":"SE-LEGO:按需创建元搜索引擎","authors":"Zonghuan Wu, Vijay V. Raghavan, Chun Du, C. KomanduruSai, W. Meng, Hai He, Clement T. Yu","doi":"10.1145/860435.860555","DOIUrl":null,"url":null,"abstract":"Extended Abstract As a system that provides unified access to multiple existing search systems, a metasearch engine can alleviate ordinary users from the formidable task of identifying useful sources and searching them individually. At present, the largest metasearch engines such as ProFusion (www.profusion.com) and SavvySearch (www.search.com) can connect to about 1,000 search engines. This means that only a small fraction of the information sources on the Web, including both the Surface Web and the Deep Web, are connected, as the number of such sources is estimated to be in the order of hundreds of thousands [1]. Most of these Websites have their own search capabilities and provide search interfaces. Many of these Websites provide high quality information that has been frequently queried by specialists and researchers in particular fields. Present major metasearch engines usually do not connect to these specialized Websites. Currently, building a metasearch engine is an expensive and labor-intensive job that needs diverse expertise. As a result, it is difficult for an ordinary Web user to create a metasearch engine based on the search engines of the user’s choice. Some metasearch engine companies (e.g., ProFusion) allow user to build customized metasearch engines, but only search engines in a pre-compiled list can be used because the capability to connect to these search engines need to be established in advance.","PeriodicalId":209809,"journal":{"name":"Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval","volume":"97 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"SE-LEGO: creating metasearch engines on demand\",\"authors\":\"Zonghuan Wu, Vijay V. Raghavan, Chun Du, C. KomanduruSai, W. Meng, Hai He, Clement T. Yu\",\"doi\":\"10.1145/860435.860555\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Extended Abstract As a system that provides unified access to multiple existing search systems, a metasearch engine can alleviate ordinary users from the formidable task of identifying useful sources and searching them individually. At present, the largest metasearch engines such as ProFusion (www.profusion.com) and SavvySearch (www.search.com) can connect to about 1,000 search engines. This means that only a small fraction of the information sources on the Web, including both the Surface Web and the Deep Web, are connected, as the number of such sources is estimated to be in the order of hundreds of thousands [1]. Most of these Websites have their own search capabilities and provide search interfaces. Many of these Websites provide high quality information that has been frequently queried by specialists and researchers in particular fields. Present major metasearch engines usually do not connect to these specialized Websites. Currently, building a metasearch engine is an expensive and labor-intensive job that needs diverse expertise. As a result, it is difficult for an ordinary Web user to create a metasearch engine based on the search engines of the user’s choice. Some metasearch engine companies (e.g., ProFusion) allow user to build customized metasearch engines, but only search engines in a pre-compiled list can be used because the capability to connect to these search engines need to be established in advance.\",\"PeriodicalId\":209809,\"journal\":{\"name\":\"Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval\",\"volume\":\"97 4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-07-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/860435.860555\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/860435.860555","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

元搜索引擎作为一种提供对多个现有搜索系统的统一访问的系统,可以减轻普通用户识别有用资源并进行单独搜索的艰巨任务。目前,ProFusion (www.profusion.com)、SavvySearch (www.search.com)等最大的元搜索引擎可以连接约1000个搜索引擎。这意味着网络上只有一小部分信息源(包括表层网和深层网)是连接的,据估计,这类信息源的数量约为数十万个[1]。这些网站大多有自己的搜索功能,并提供搜索界面。其中许多网站提供高质量的信息,这些信息经常被特定领域的专家和研究人员查询。目前主要的元搜索引擎通常不连接到这些专门的网站。目前,构建元搜索引擎是一项昂贵且劳动密集型的工作,需要多种专业知识。因此,普通Web用户很难根据用户选择的搜索引擎创建元搜索引擎。一些元搜索引擎公司(如ProFusion)允许用户构建定制的元搜索引擎,但只能使用预编译列表中的搜索引擎,因为连接这些搜索引擎的能力需要提前建立。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SE-LEGO: creating metasearch engines on demand
Extended Abstract As a system that provides unified access to multiple existing search systems, a metasearch engine can alleviate ordinary users from the formidable task of identifying useful sources and searching them individually. At present, the largest metasearch engines such as ProFusion (www.profusion.com) and SavvySearch (www.search.com) can connect to about 1,000 search engines. This means that only a small fraction of the information sources on the Web, including both the Surface Web and the Deep Web, are connected, as the number of such sources is estimated to be in the order of hundreds of thousands [1]. Most of these Websites have their own search capabilities and provide search interfaces. Many of these Websites provide high quality information that has been frequently queried by specialists and researchers in particular fields. Present major metasearch engines usually do not connect to these specialized Websites. Currently, building a metasearch engine is an expensive and labor-intensive job that needs diverse expertise. As a result, it is difficult for an ordinary Web user to create a metasearch engine based on the search engines of the user’s choice. Some metasearch engine companies (e.g., ProFusion) allow user to build customized metasearch engines, but only search engines in a pre-compiled list can be used because the capability to connect to these search engines need to be established in advance.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信