Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Cross-lingual Event-centric Open Analytics |
| Untertitel | Proceedings of the 1st International Workshop on Cross-lingual Event-centric Open Analytics co-located with the 17th Extended Semantic Web Conference (ESWC 2020) |
| Seiten | 32-42 |
| Seitenumfang | 11 |
| Publikationsstatus | Veröffentlicht - 2020 |
| Veranstaltung | 1st International Workshop on Cross-Lingual Event-Centric Open Analytics, CLEOPATRA 2020 - Heraklion, Crete, Griechenland Dauer: 3 Juni 2020 → … |
Publikationsreihe
| Name | CEUR Workshop Proceedings |
|---|---|
| Herausgeber (Verlag) | CEUR Workshop Proceedings |
| Band | 2611 |
| ISSN (Print) | 1613-0073 |
Abstract
An increasing need to analyse event-centric cross-lingual information calls for innovative user interaction models that assist users in crossing the language barrier. However, datasets that reflect user interaction traces in cross-lingual settings required to train and evaluate the user interaction models are mostly missing. In this paper, we present the EventKG+Click dataset that aims to facilitate the creation and evaluation of such interaction models. EventKG+Click builds upon the event-centric EventKG knowledge graph and language-specific information on user interactions with events, entities, and their relations derived from the Wikipedia clickstream.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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- BibTex
- RIS
Cross-lingual Event-centric Open Analytics: Proceedings of the 1st International Workshop on Cross-lingual Event-centric Open Analytics co-located with the 17th Extended Semantic Web Conference (ESWC 2020). 2020. S. 32-42 (CEUR Workshop Proceedings; Band 2611).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - EventKG+Click
T2 - 1st International Workshop on Cross-Lingual Event-Centric Open Analytics, CLEOPATRA 2020
AU - Abdollahi, Sara
AU - Gottschalk, Simon
AU - Demidova, Elena
N1 - Funding Information: Acknowledgements This work was partially funded by H2020-MSCA-ITN-2018-812997 under “Cleopatra”.
PY - 2020
Y1 - 2020
N2 - An increasing need to analyse event-centric cross-lingual information calls for innovative user interaction models that assist users in crossing the language barrier. However, datasets that reflect user interaction traces in cross-lingual settings required to train and evaluate the user interaction models are mostly missing. In this paper, we present the EventKG+Click dataset that aims to facilitate the creation and evaluation of such interaction models. EventKG+Click builds upon the event-centric EventKG knowledge graph and language-specific information on user interactions with events, entities, and their relations derived from the Wikipedia clickstream.
AB - An increasing need to analyse event-centric cross-lingual information calls for innovative user interaction models that assist users in crossing the language barrier. However, datasets that reflect user interaction traces in cross-lingual settings required to train and evaluate the user interaction models are mostly missing. In this paper, we present the EventKG+Click dataset that aims to facilitate the creation and evaluation of such interaction models. EventKG+Click builds upon the event-centric EventKG knowledge graph and language-specific information on user interactions with events, entities, and their relations derived from the Wikipedia clickstream.
UR - http://www.scopus.com/inward/record.url?scp=85091062909&partnerID=8YFLogxK
U2 - 10.48550/arXiv.2010.12370
DO - 10.48550/arXiv.2010.12370
M3 - Conference contribution
AN - SCOPUS:85091062909
T3 - CEUR Workshop Proceedings
SP - 32
EP - 42
BT - Cross-lingual Event-centric Open Analytics
Y2 - 3 June 2020
ER -