Details
| Original language | English |
|---|---|
| Title of host publication | Cross-lingual Event-centric Open Analytics |
| Subtitle of host publication | Proceedings of the 2nd International Workshop on Cross-lingual Event-centric Open Analytics co-located with the 30th The Web Conference (WWW 2021) |
| Pages | 61-75 |
| Number of pages | 15 |
| Publication status | Published - 12 Apr 2021 |
| Event | 2nd International Workshop on Cross-Lingual Event-Centric Open Analytics, CLEOPATRA 2021 - Virtual, Ljubljana, Slovenia Duration: 12 Apr 2021 → … |
Publication series
| Name | CEUR Workshop Proceedings |
|---|---|
| Publisher | CEUR Workshop Proceedings |
| Volume | 2829 |
| ISSN (Print) | 1613-0073 |
Abstract
Accessing and understanding contemporary and historical events of global impact such as the US elections and the Olympic Games is a major prerequisite for cross-lingual event analytics that investigate event causes, perception and consequences across country borders. In this paper, we present the Open Event Knowledge Graph (OEKG), a multilingual, event-centric, temporal knowledge graph composed of seven different data sets from multiple application domains, including question answering, entity recommendation and named entity recognition. These data sets are all integrated through an easy-to-use and robust pipeline and by linking to the event-centric knowledge graph EventKG. We describe their common schema and demonstrate the use of the OEKG at the example of three use cases: type-specific image retrieval, hybrid question answering over knowledge graphs and news articles, as well as language-specific event recommendation. The OEKG and its query endpoint are publicly available.
ASJC Scopus subject areas
- Computer Science(all)
- General Computer Science
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Cross-lingual Event-centric Open Analytics: Proceedings of the 2nd International Workshop on Cross-lingual Event-centric Open Analytics co-located with the 30th The Web Conference (WWW 2021). 2021. p. 61-75 (CEUR Workshop Proceedings; Vol. 2829).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - OEKG
T2 - 2nd International Workshop on Cross-Lingual Event-Centric Open Analytics, CLEOPATRA 2021
AU - Gottschalk, Simon
AU - Kacupaj, Endri
AU - Abdollahi, Sara
AU - Alves, Diego
AU - Amaral, Gabriel
AU - Koutsiana, Elisavet
AU - Kuculo, Tin
AU - Major, Daniela
AU - Mello, Caio
AU - Cheema, Gullal S.
AU - Sittar, Abdul
AU - Swati,
AU - Tahmasebzadeh, Golsa
AU - Thakkar, Gaurish
N1 - Funding Information: Acknowledgements The project leading to this publication has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sk lodowska-Curie grant agreement No. 812997 (Cleopatra).
PY - 2021/4/12
Y1 - 2021/4/12
N2 - Accessing and understanding contemporary and historical events of global impact such as the US elections and the Olympic Games is a major prerequisite for cross-lingual event analytics that investigate event causes, perception and consequences across country borders. In this paper, we present the Open Event Knowledge Graph (OEKG), a multilingual, event-centric, temporal knowledge graph composed of seven different data sets from multiple application domains, including question answering, entity recommendation and named entity recognition. These data sets are all integrated through an easy-to-use and robust pipeline and by linking to the event-centric knowledge graph EventKG. We describe their common schema and demonstrate the use of the OEKG at the example of three use cases: type-specific image retrieval, hybrid question answering over knowledge graphs and news articles, as well as language-specific event recommendation. The OEKG and its query endpoint are publicly available.
AB - Accessing and understanding contemporary and historical events of global impact such as the US elections and the Olympic Games is a major prerequisite for cross-lingual event analytics that investigate event causes, perception and consequences across country borders. In this paper, we present the Open Event Knowledge Graph (OEKG), a multilingual, event-centric, temporal knowledge graph composed of seven different data sets from multiple application domains, including question answering, entity recommendation and named entity recognition. These data sets are all integrated through an easy-to-use and robust pipeline and by linking to the event-centric knowledge graph EventKG. We describe their common schema and demonstrate the use of the OEKG at the example of three use cases: type-specific image retrieval, hybrid question answering over knowledge graphs and news articles, as well as language-specific event recommendation. The OEKG and its query endpoint are publicly available.
UR - http://www.scopus.com/inward/record.url?scp=85103195785&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85103195785
T3 - CEUR Workshop Proceedings
SP - 61
EP - 75
BT - Cross-lingual Event-centric Open Analytics
Y2 - 12 April 2021
ER -