基于网页特性的特定语言抓取

2010 International Conference on Multimedia Computing and Information Technology (MCIT) Pub Date : 2010-03-02 DOI:10.1109/MCIT.2010.5444865

Masomeh Azimzadeh, Alireza Yari, M. Kargar

{"title":"基于网页特性的特定语言抓取","authors":"Masomeh Azimzadeh, Alireza Yari, M. Kargar","doi":"10.1109/MCIT.2010.5444865","DOIUrl":null,"url":null,"abstract":"Since Word Wide Web contains large set of data in different languages, retrieving language specific information creates a new challenge in information retrieval called language specific crawling. In this paper, a new approach is purposed for language specific crawling in which a combination of some selected content and context features of web documents have been applied. This approach has been implemented for Persian language and evaluated in Iranian web domain. The evaluation results show how this approach can improve the performance of crawling from speed and coverage points of view.","PeriodicalId":285648,"journal":{"name":"2010 International Conference on Multimedia Computing and Information Technology (MCIT)","volume":" 30","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Language specific crawling based on web pages features\",\"authors\":\"Masomeh Azimzadeh, Alireza Yari, M. Kargar\",\"doi\":\"10.1109/MCIT.2010.5444865\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Since Word Wide Web contains large set of data in different languages, retrieving language specific information creates a new challenge in information retrieval called language specific crawling. In this paper, a new approach is purposed for language specific crawling in which a combination of some selected content and context features of web documents have been applied. This approach has been implemented for Persian language and evaluated in Iranian web domain. The evaluation results show how this approach can improve the performance of crawling from speed and coverage points of view.\",\"PeriodicalId\":285648,\"journal\":{\"name\":\"2010 International Conference on Multimedia Computing and Information Technology (MCIT)\",\"volume\":\" 30\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Multimedia Computing and Information Technology (MCIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MCIT.2010.5444865\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Multimedia Computing and Information Technology (MCIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MCIT.2010.5444865","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

由于Word Wide Web包含大量不同语言的数据，检索特定语言的信息给信息检索带来了一个新的挑战，即特定语言爬行。本文提出了一种针对特定语言爬行的新方法，该方法结合了web文档的一些选定内容和上下文特征。该方法已在波斯语中实施，并在伊朗网络域进行了评估。评估结果表明，从速度和覆盖范围的角度来看，该方法可以提高爬行性能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Language specific crawling based on web pages features

Since Word Wide Web contains large set of data in different languages, retrieving language specific information creates a new challenge in information retrieval called language specific crawling. In this paper, a new approach is purposed for language specific crawling in which a combination of some selected content and context features of web documents have been applied. This approach has been implemented for Persian language and evaluated in Iranian web domain. The evaluation results show how this approach can improve the performance of crawling from speed and coverage points of view.

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

2010 International Conference on Multimedia Computing and Information Technology (MCIT)

自引率

0.00%

发文量