10.15488/1335
Risse, Thomas
Dietze, Stefan
Peters, Wim
Doka, Katerina
Stavrakas, Yannis
Senellart, Pierre
Exploiting the social and semantic web for guided web archiving
Heidelberg : Springer Verlag
2012
Social Web
Text Analysis
Web Archiving
Web Crawler
Court decisions
Meta information
Semantic information
Text analysis
Web archives
Web content
Artificial intelligence
Digital libraries
Konferenzschrift
Dewey Decimal Classification::000 | Allgemeines, Wissenschaft::000 | Informatik, Wissen, Systeme::004 | Informatik
Technische Informationsbibliothek (TIB)
Technische Informationsbibliothek (TIB)
Zaphiris, Panayiotis
Buchanan, George
Rasmussen, Edie
Loizides, Fernando
2017-04-20
2017-04-20
2012
eng
BookPart
Risse, T.; Dietze, S.; Peters, W.; Doka, K.; Stavrakas, Y.; Senellart, P.: 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. Heidelberg : Springer Verlag, 2012 (Lecture Notes in Computer Science ; 7489), S. 426-432. DOI: https://doi.org/10.1007/978-3-642-33290-6_47
http://www.repo.uni-hannover.de/handle/123456789/1360
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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. The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-33290-6_47.