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. 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.
This work is partly funded by the European Commission under ARCOMEM (ICT 270239).
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Risse, T., Dietze, S., Peters, W., Doka, K., Stavrakas, Y., Senellart, P. (2012). Exploiting the Social and Semantic Web for Guided Web Archiving. In: Zaphiris, P., Buchanan, G., Rasmussen, E., Loizides, F. (eds) Theory and Practice of Digital Libraries. TPDL 2012. Lecture Notes in Computer Science, vol 7489. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33290-6_47
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DOI: https://doi.org/10.1007/978-3-642-33290-6_47
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