TY  - JOUR
A1  - Risse, Thomas
A1  - Demidova, Elena
A1  - Dietze, Stefan
A1  - Peters, Wim
A1  - Papailiou, Nikolaos
A1  - Doka, Katerina
A1  - Stavrakas, Yannis
A1  - Plachouras, Vassilis
A1  - Senellart, Pierre
A1  - Carpentier, Florent
A1  - Mantrach, Amin
A1  - Cautis, Bogdan
A1  - Siehndel, Patrick
A1  - Spiliotopoulos, Dimitris
T1  - The ARCOMEM architecture for social- and semantic-driven web archiving
T2  - Future Internet
N2  - The constantly growing amount of Web content and the success of the SocialWeb lead to increasing needs for Web archiving. These needs go beyond the pure preservationo 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. Due to the size of the Web, the traditional “collect-all” strategy is in many cases not the best method to build Web archives. In this paper, we present the ARCOMEM (From Future Internet 2014, 6 689 Collect-All Archives to Community Memories) architecture and implementation 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.
KW  - web archiving
KW  - web crawler
KW  - architecture
KW  - text analysis
KW  - social Web
Y1  - 2014
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/53652
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-536529
SN  - 1999-5903
N1  - This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited
VL  - 6
IS  - 4
SP  - 688
EP  - 716
PB  - MDPI
CY  - Basel
ER  -