Exploiting the social and semantic web for guided web archiving

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Risse, T.; Dietze, S.; Peters, W.; Doka, K.; Stavrakas, Y.; Senellart, P.: Exploiting the social and semantic web for guided web archiving. In: Lecture Notes in Computer Science 7489 (2012), S. 426-432. DOI: https://doi.org/10.1007/978-3-642-33290-6_47

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1335

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Sum total of downloads: 139




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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. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-33290-6_47.
License of this version: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
Document Type: article
Publishing status: acceptedVersion
Issue Date: 2012
Appears in Collections:Fakultät für Elektrotechnik und Informatik

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 112 80.58%
2 image of flag of United States United States 6 4.32%
3 image of flag of Hungary Hungary 4 2.88%
4 image of flag of United Kingdom United Kingdom 3 2.16%
5 image of flag of No geo information available No geo information available 2 1.44%
6 image of flag of Poland Poland 2 1.44%
7 image of flag of France France 2 1.44%
8 image of flag of Romania Romania 1 0.72%
9 image of flag of Malaysia Malaysia 1 0.72%
10 image of flag of Korea, Republic of Korea, Republic of 1 0.72%
    other countries 5 3.60%

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