Details
| Original language | English |
|---|---|
| Pages (from-to) | 31-45 |
| Number of pages | 15 |
| Journal | International Journal on Digital Libraries |
| Volume | 21 |
| Issue number | 1 |
| Early online date | 27 Oct 2018 |
| Publication status | Published - Mar 2020 |
Abstract
Web archives constitute an increasingly important source of information for computer scientists, humanities researchers and journalists interested in studying past events. However, currently there are no access methods that help Web archive users to efficiently access event-centric information in large-scale archives that go beyond the retrieval of individual disconnected documents. In this article, we tackle the novel problem of extracting interlinked event-centric document collections from large-scale Web archives to facilitate an efficient and intuitive access to information regarding past events. We address this problem by: (1) facilitating users to define event-centric document collections in an intuitive way through a Collection Specification; (2) development of a specialised extraction method that adapts focused crawling techniques to the Web archive settings; and (3) definition of a function to judge the relevance of the archived documents with respect to the Collection Specification taking into account the topical and temporal relevance of the documents. Our extended experiments on the German Web archive (covering a time period of 19 years) demonstrate that our method enables efficient extraction of event-centric collections for different event types.
Keywords
- Event-centric document collections, Focused crawling, Web archives
ASJC Scopus subject areas
- Social Sciences(all)
- Library and Information Sciences
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In: International Journal on Digital Libraries, Vol. 21, No. 1, 03.2020, p. 31-45.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Towards extracting event-centric collections from Web archives
AU - Gossen, Gerhard
AU - Risse, Thomas
AU - Demidova, Elena
N1 - Funding information: This work was partially funded by the ERC under ALEXANDRIA (ERC 339233), H2020 under SoBigData (RIA 654024) and Cleopatra (H2020-MSCA-ITN-2018-812997), and BMBF under Data4UrbanMobility (02K15A040).
PY - 2020/3
Y1 - 2020/3
N2 - Web archives constitute an increasingly important source of information for computer scientists, humanities researchers and journalists interested in studying past events. However, currently there are no access methods that help Web archive users to efficiently access event-centric information in large-scale archives that go beyond the retrieval of individual disconnected documents. In this article, we tackle the novel problem of extracting interlinked event-centric document collections from large-scale Web archives to facilitate an efficient and intuitive access to information regarding past events. We address this problem by: (1) facilitating users to define event-centric document collections in an intuitive way through a Collection Specification; (2) development of a specialised extraction method that adapts focused crawling techniques to the Web archive settings; and (3) definition of a function to judge the relevance of the archived documents with respect to the Collection Specification taking into account the topical and temporal relevance of the documents. Our extended experiments on the German Web archive (covering a time period of 19 years) demonstrate that our method enables efficient extraction of event-centric collections for different event types.
AB - Web archives constitute an increasingly important source of information for computer scientists, humanities researchers and journalists interested in studying past events. However, currently there are no access methods that help Web archive users to efficiently access event-centric information in large-scale archives that go beyond the retrieval of individual disconnected documents. In this article, we tackle the novel problem of extracting interlinked event-centric document collections from large-scale Web archives to facilitate an efficient and intuitive access to information regarding past events. We address this problem by: (1) facilitating users to define event-centric document collections in an intuitive way through a Collection Specification; (2) development of a specialised extraction method that adapts focused crawling techniques to the Web archive settings; and (3) definition of a function to judge the relevance of the archived documents with respect to the Collection Specification taking into account the topical and temporal relevance of the documents. Our extended experiments on the German Web archive (covering a time period of 19 years) demonstrate that our method enables efficient extraction of event-centric collections for different event types.
KW - Event-centric document collections
KW - Focused crawling
KW - Web archives
UR - http://www.scopus.com/inward/record.url?scp=85055897093&partnerID=8YFLogxK
U2 - 10.1007/s00799-018-0258-6
DO - 10.1007/s00799-018-0258-6
M3 - Article
AN - SCOPUS:85055897093
VL - 21
SP - 31
EP - 45
JO - International Journal on Digital Libraries
JF - International Journal on Digital Libraries
SN - 1432-5012
IS - 1
ER -