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

Gerhard Gossen, Elena Demidova, T. Risse
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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.
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。
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