Topical web crawlers: Evaluating adaptive algorithms
ACM Transactions on Internet Technology (TOIT)
Crawling a country: better strategies than breadth-first for web page ordering
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Web Archiving
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The constantly growing amount of Web content and the success of the Social Web lead to increasing needs for Web archiving. These needs go beyond the pure preservation of Web pages. Web archives are turning into "community memories" that aim at building a better understanding of the public view on, e.g., celebrities, court decisions, and other events. In this paper we present the ARCOMEM architecture that uses semantic information such as entities, topics, and events complemented with information from the social Web to guide a novel Web crawler. The resulting archives are automatically enriched with semantic meta-information to ease the access and allow retrieval based on conditions that involve high-level concepts.