Exploiting the social and semantic web for guided web archiving

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dc.identifier.uri http://dx.doi.org/10.15488/1335
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1360
dc.contributor.author Risse, Thomas
dc.contributor.author Dietze, Stefan
dc.contributor.author Peters, Wim
dc.contributor.author Doka, Katerina
dc.contributor.author Stavrakas, Yannis
dc.contributor.author Senellart, Pierre
dc.date.accessioned 2017-04-20T08:42:21Z
dc.date.available 2017-04-20T08:42:21Z
dc.date.issued 2012
dc.identifier.citation 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
dc.description.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. eng
dc.description.sponsorship German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety/0325296
dc.description.sponsorship Solland Solar Cells BV
dc.description.sponsorship SolarWorld Innovations GmbH
dc.description.sponsorship SCHOTT Solar AG
dc.description.sponsorship RENA GmbH
dc.description.sponsorship SINGULUS TECHNOLOGIES AG
dc.language.iso eng
dc.publisher Heidelberg : Springer Verlag
dc.relation.ispartofseries Lecture Notes in Computer Science 7489 (2012)
dc.rights Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
dc.subject Social Web eng
dc.subject Text Analysis eng
dc.subject Web Archiving eng
dc.subject Web Crawler eng
dc.subject Court decisions eng
dc.subject Meta information eng
dc.subject Semantic information eng
dc.subject Text analysis eng
dc.subject Web archives eng
dc.subject Web content eng
dc.subject Artificial intelligence eng
dc.subject Digital libraries eng
dc.subject.ddc 004 | Informatik ger
dc.title Exploiting the social and semantic web for guided web archiving
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.essn 0302-9743
dc.relation.doi 10.1007/978-3-642-33290-6_47
dc.bibliographicCitation.volume 7489
dc.bibliographicCitation.firstPage 426
dc.bibliographicCitation.lastPage 432
dc.description.version acceptedVersion
tib.accessRights frei zug�nglich


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