Exploiting the social and semantic web for guided web archiving

Thomas Risse, Stefan Dietze, Wim Peters, Katerina Doka, Yannis Stavrakas & Pierre Senellart
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...
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