Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | The Semantic Web |
| Untertitel | 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018, Proceedings |
| Herausgeber/-innen | Aldo Gangemi, Raphaël Troncy, Roberto Navigli, Laura Hollink, Maria-Esther Vidal, Pascal Hitzler, Anna Tordai, Mehwish Alam |
| Herausgeber (Verlag) | Springer Verlag |
| Seiten | 272-287 |
| Seitenumfang | 16 |
| ISBN (elektronisch) | 9783319934174 |
| ISBN (Print) | 9783319934167 |
| Publikationsstatus | Veröffentlicht - 3 Juni 2018 |
| Veranstaltung | 15th International Conference on Extended Semantic Web Conference, ESWC 2018 - Heraklion, Griechenland Dauer: 3 Juni 2018 → 7 Juni 2018 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 10843 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
One of the key requirements to facilitate semantic analytics of information regarding contemporary and historical events on the Web, in the news and in social media is the availability of reference knowledge repositories containing comprehensive representations of events and temporal relations. Existing knowledge graphs, with popular examples including DBpedia, YAGO and Wikidata, focus mostly on entity-centric information and are insufficient in terms of their coverage and completeness with respect to events and temporal relations. EventKG presented in this paper is a multilingual event-centric temporal knowledge graph that addresses this gap. EventKG incorporates over 690 thousand contemporary and historical events and over 2.3 million temporal relations extracted from several large-scale knowledge graphs and semi-structured sources and makes them available through a canonical representation.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete, Greece, June 3–7, 2018, Proceedings. Hrsg. / Aldo Gangemi; Raphaël Troncy; Roberto Navigli; Laura Hollink; Maria-Esther Vidal; Pascal Hitzler; Anna Tordai; Mehwish Alam. Springer Verlag, 2018. S. 272-287 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 10843 LNCS).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - EventKG
T2 - 15th International Conference on Extended Semantic Web Conference, ESWC 2018
AU - Gottschalk, Simon
AU - Demidova, Elena
N1 - Funding Information: Acknowledgements. This work was partially funded by the ERC (“ALEXANDRIA”, 339233) and BMBF (“Data4UrbanMobility”, 02K15A040). Funding Information: This work was partially funded by the ERC (“ALEXANDRIA”, 339233) and BMBF (“Data4UrbanMobility”, 02K15A040).
PY - 2018/6/3
Y1 - 2018/6/3
N2 - One of the key requirements to facilitate semantic analytics of information regarding contemporary and historical events on the Web, in the news and in social media is the availability of reference knowledge repositories containing comprehensive representations of events and temporal relations. Existing knowledge graphs, with popular examples including DBpedia, YAGO and Wikidata, focus mostly on entity-centric information and are insufficient in terms of their coverage and completeness with respect to events and temporal relations. EventKG presented in this paper is a multilingual event-centric temporal knowledge graph that addresses this gap. EventKG incorporates over 690 thousand contemporary and historical events and over 2.3 million temporal relations extracted from several large-scale knowledge graphs and semi-structured sources and makes them available through a canonical representation.
AB - One of the key requirements to facilitate semantic analytics of information regarding contemporary and historical events on the Web, in the news and in social media is the availability of reference knowledge repositories containing comprehensive representations of events and temporal relations. Existing knowledge graphs, with popular examples including DBpedia, YAGO and Wikidata, focus mostly on entity-centric information and are insufficient in terms of their coverage and completeness with respect to events and temporal relations. EventKG presented in this paper is a multilingual event-centric temporal knowledge graph that addresses this gap. EventKG incorporates over 690 thousand contemporary and historical events and over 2.3 million temporal relations extracted from several large-scale knowledge graphs and semi-structured sources and makes them available through a canonical representation.
UR - http://www.scopus.com/inward/record.url?scp=85048491054&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-93417-4_18
DO - 10.1007/978-3-319-93417-4_18
M3 - Conference contribution
AN - SCOPUS:85048491054
SN - 9783319934167
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 272
EP - 287
BT - The Semantic Web
A2 - Gangemi, Aldo
A2 - Troncy, Raphaël
A2 - Navigli, Roberto
A2 - Hollink, Laura
A2 - Vidal, Maria-Esther
A2 - Hitzler, Pascal
A2 - Tordai, Anna
A2 - Alam, Mehwish
PB - Springer Verlag
Y2 - 3 June 2018 through 7 June 2018
ER -