Exploiting the Social and Semantic Web for guided Web Archiving

Thomas Risse, Stefan Dietze, Wim Peters, Katerina Doka, Yannis Stavrakas and Pierre Senellart
International Conference on Theory and Practice of Digital Libraries (TPDL 2012), Paphos, Cyprus, September 2012
Abstract. 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. Due to the size of the Web, the traditional “collect-all” strategy is in many cases not the best method to build Web archives. 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.