iCrawl: Improving the Freshness of Web Collections by Integrating Social Web and Focused Web Crawling

Gerhard Gossen, Elena Demidova, T. Risse
{"title":"iCrawl: Improving the Freshness of Web Collections by Integrating Social Web and Focused Web Crawling","authors":"Gerhard Gossen, Elena Demidova, T. Risse","doi":"10.1145/2756406.2756925","DOIUrl":null,"url":null,"abstract":"Researchers in the Digital Humanities and journalists need to monitor, collect and analyze fresh online content regarding current events such as the Ebola outbreak or the Ukraine crisis on demand. However, existing focused crawling approaches only consider topical aspects while ignoring temporal aspects and therefore cannot achieve thematically coherent and fresh Web collections. Especially Social Media provide a rich source of fresh content, which is not used by state-of-the-art focused crawlers. In this paper we address the issues of enabling the collection of fresh and relevant Web and Social Web content for a topic of interest through seamless integration of Web and Social Media in a novel integrated focused crawler. The crawler collects Web and Social Media content in a single system and exploits the stream of fresh Social Media content for guiding the crawler.","PeriodicalId":256118,"journal":{"name":"Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries","volume":"358 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 15th ACM/IEEE-CS Joint Conference on Digital Libraries","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2756406.2756925","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22

Abstract

Researchers in the Digital Humanities and journalists need to monitor, collect and analyze fresh online content regarding current events such as the Ebola outbreak or the Ukraine crisis on demand. However, existing focused crawling approaches only consider topical aspects while ignoring temporal aspects and therefore cannot achieve thematically coherent and fresh Web collections. Especially Social Media provide a rich source of fresh content, which is not used by state-of-the-art focused crawlers. In this paper we address the issues of enabling the collection of fresh and relevant Web and Social Web content for a topic of interest through seamless integration of Web and Social Media in a novel integrated focused crawler. The crawler collects Web and Social Media content in a single system and exploits the stream of fresh Social Media content for guiding the crawler.
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
iCrawl:通过整合社交网络和集中网络爬行来提高网络收藏的新鲜度
数字人文学科的研究人员和记者需要根据需要监测、收集和分析有关埃博拉疫情或乌克兰危机等时事的新鲜在线内容。然而,现有的聚焦爬行方法只考虑主题方面,而忽略了时间方面,因此无法实现主题一致和新鲜的Web集合。特别是社交媒体提供了丰富的新鲜内容来源,这是最先进的集中爬虫所没有使用的。在本文中,我们通过在一个新颖的集成聚焦爬虫中无缝集成网络和社交媒体,解决了为感兴趣的主题收集新鲜和相关的网络和社交网络内容的问题。爬虫在单个系统中收集Web和社交媒体内容,并利用新鲜的社交媒体内容流来引导爬虫。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Combining Classifiers and User Feedback for Disambiguating Author Names Improving Access to Large-scale Digital Libraries ThroughSemantic-enhanced Search and Disambiguation ConfAssist: A Conflict Resolution Framework for Assisting the Categorization of Computer Science Conferences The HathiTrust Research Center: Providing analytic access to the HathiTrust Digital Library's 4.7 billion pages Scholarly Document Information Extraction using Extensible Features for Efficient Higher Order Semi-CRFs
×
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