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
Zusammenfassung: |
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.
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Lizenzbestimmungen: |
Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. |
Publikationstyp: |
BookPart |
Publikationsstatus: |
acceptedVersion |
Erstveröffentlichung: |
2012 |
Schlagwörter (englisch): |
Social Web, Text Analysis, Web Archiving, Web Crawler, Court decisions, Meta information, Semantic information, Text analysis, Web archives, Web content, Artificial intelligence, Digital libraries
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Fachliche Zuordnung (DDC): |
004 | Informatik
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Kontrollierte Schlagwörter: |
Konferenzschrift
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