Details
| Original language | English |
|---|---|
| Title of host publication | Digital Libraries for Open Knowledge |
| Subtitle of host publication | 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Proceedings |
| Editors | Eva Mendez, Cristina Ribeiro, Gabriel David, João Correia Lopes, Fabio Crestani |
| Publisher | Springer Verlag |
| Pages | 139-151 |
| Number of pages | 13 |
| Edition | 1 |
| ISBN (electronic) | 9783030000660 |
| ISBN (print) | 9783030000653 |
| Publication status | Published - 5 Sept 2018 |
| Event | 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018 - Porto, Portugal Duration: 10 Sept 2018 → 13 Sept 2018 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 11057 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
With an increasing amount of information on globally important events, there is a growing demand for efficient analytics of multilingual event-centric information. Such analytics is particularly challenging due to the large amount of content, the event dynamics and the language barrier. Although memory institutions increasingly collect event-centric Web content in different languages, very little is known about the strategies of researchers who conduct analytics of such content. In this paper we present researchers’ strategies for the content, method and feature selection in the context of cross-lingual event-centric analytics observed in two case studies on multilingual Wikipedia. We discuss the influence factors for these strategies, the findings enabled by the adopted methods along with the current limitations and provide recommendations for services supporting researchers in cross-lingual event-centric analytics.
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
Cite this
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Digital Libraries for Open Knowledge: 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018, Proceedings. ed. / Eva Mendez; Cristina Ribeiro; Gabriel David; João Correia Lopes; Fabio Crestani. 1. ed. Springer Verlag, 2018. p. 139-151 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11057 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Towards better understanding researcher strategies in cross-lingual event analytics
AU - Gottschalk, Simon
AU - Bernacchi, Viola
AU - Rogers, Richard
AU - Demidova, Elena
N1 - Funding Information: Acknowledgements. This work was partially funded by the ERC (“ALEXANDRIA”, 339233) and H2020-MSCA-ITN-2018-812997 “Cleopatra”.
PY - 2018/9/5
Y1 - 2018/9/5
N2 - With an increasing amount of information on globally important events, there is a growing demand for efficient analytics of multilingual event-centric information. Such analytics is particularly challenging due to the large amount of content, the event dynamics and the language barrier. Although memory institutions increasingly collect event-centric Web content in different languages, very little is known about the strategies of researchers who conduct analytics of such content. In this paper we present researchers’ strategies for the content, method and feature selection in the context of cross-lingual event-centric analytics observed in two case studies on multilingual Wikipedia. We discuss the influence factors for these strategies, the findings enabled by the adopted methods along with the current limitations and provide recommendations for services supporting researchers in cross-lingual event-centric analytics.
AB - With an increasing amount of information on globally important events, there is a growing demand for efficient analytics of multilingual event-centric information. Such analytics is particularly challenging due to the large amount of content, the event dynamics and the language barrier. Although memory institutions increasingly collect event-centric Web content in different languages, very little is known about the strategies of researchers who conduct analytics of such content. In this paper we present researchers’ strategies for the content, method and feature selection in the context of cross-lingual event-centric analytics observed in two case studies on multilingual Wikipedia. We discuss the influence factors for these strategies, the findings enabled by the adopted methods along with the current limitations and provide recommendations for services supporting researchers in cross-lingual event-centric analytics.
UR - http://www.scopus.com/inward/record.url?scp=85053839469&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-00066-0_12
DO - 10.1007/978-3-030-00066-0_12
M3 - Conference contribution
AN - SCOPUS:85053839469
SN - 9783030000653
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 139
EP - 151
BT - Digital Libraries for Open Knowledge
A2 - Mendez, Eva
A2 - Ribeiro, Cristina
A2 - David, Gabriel
A2 - Lopes, João Correia
A2 - Crestani, Fabio
PB - Springer Verlag
T2 - 22nd International Conference on Theory and Practice of Digital Libraries, TPDL 2018
Y2 - 10 September 2018 through 13 September 2018
ER -