从Web构建全球动态网络

T. Perrin, H. Kawai, K. Kunieda, K. Yamada
{"title":"从Web构建全球动态网络","authors":"T. Perrin, H. Kawai, K. Kunieda, K. Yamada","doi":"10.1109/INGS.2008.15","DOIUrl":null,"url":null,"abstract":"In this paper, we will utilize patterns to query search engine in order to extract a large list of expressions and build their co-occurrence networks from the Web. Those expressions could be statistical terms like birth rates, events such as hurricanes, riots or facts as urbanization. Our method is based on specificities of the language in order to create patterns. Those patterns will help us to extract terms. The vast amount of available information, the power of search API engine like Yahoo or Google combined with our patterns allow us to extract with high accuracy expressions described above and find links between them.","PeriodicalId":356148,"journal":{"name":"2008 International Workshop on Information-Explosion and Next Generation Search","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Global Dynamics Network Construction from the Web\",\"authors\":\"T. Perrin, H. Kawai, K. Kunieda, K. Yamada\",\"doi\":\"10.1109/INGS.2008.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we will utilize patterns to query search engine in order to extract a large list of expressions and build their co-occurrence networks from the Web. Those expressions could be statistical terms like birth rates, events such as hurricanes, riots or facts as urbanization. Our method is based on specificities of the language in order to create patterns. Those patterns will help us to extract terms. The vast amount of available information, the power of search API engine like Yahoo or Google combined with our patterns allow us to extract with high accuracy expressions described above and find links between them.\",\"PeriodicalId\":356148,\"journal\":{\"name\":\"2008 International Workshop on Information-Explosion and Next Generation Search\",\"volume\":\"19 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 International Workshop on Information-Explosion and Next Generation Search\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INGS.2008.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 International Workshop on Information-Explosion and Next Generation Search","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INGS.2008.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

在本文中,我们将利用模式来查询搜索引擎,以便从Web中提取大量的表达式列表并构建它们的共现网络。这些表达可以是统计术语,如出生率、飓风等事件、骚乱或城市化等事实。我们的方法基于语言的特殊性来创建模式。这些模式将帮助我们提取术语。大量的可用信息,Yahoo或b谷歌等搜索API引擎的强大功能,结合我们的模式,使我们能够高精度地提取上述表达式并找到它们之间的链接。
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
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Global Dynamics Network Construction from the Web
In this paper, we will utilize patterns to query search engine in order to extract a large list of expressions and build their co-occurrence networks from the Web. Those expressions could be statistical terms like birth rates, events such as hurricanes, riots or facts as urbanization. Our method is based on specificities of the language in order to create patterns. Those patterns will help us to extract terms. The vast amount of available information, the power of search API engine like Yahoo or Google combined with our patterns allow us to extract with high accuracy expressions described above and find links between them.
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
期刊最新文献
Hypothesis and Verification Based Measurement of Information Literacy Statistical Learning in Web Search Content-Based Video Search: Is there a Need, and Is it Possible? Organizing User Comments in a Social Video Sharing System by Temporal Duration and Pointing Region Extending Keyword Search to Metadata on Relational Databases
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1