Conference paper Open Access
Event Related Document Retrieval with Multilingual Real World Event Representation
Bernard, Guillaume; Suire, Cyrille; Faucher, Cyril; Doucet, Antoine
This demonstration paper introduces a tool to analyse historical digital libraries with the benefit of publicly available knowledge bases, such as Wikidata and Wikipedia. In this paper, we focus on real-world-events of the past, such as festivals or assassinations. We introduce our method which merges knowledge from Wikidata and Wikipedia article summaries to gather entities involved in events, dates, types and labels. We hereby present the Web tool we designed and the implemented method to characterise events. It integrates easily into any event oriented pipeline: in our demonstration, we use it to find event related documents in the NewsEye corpus.
| Name | Size | |
|---|---|---|
|
paper309.pdf
md5:7df5b4a8cd8e6dc800bdff569fcca7eb |
841.8 kB | Download |
| All versions | This version | |
|---|---|---|
| Views | 27 | 27 |
| Downloads | 28 | 28 |
| Data volume | 23.6 MB | 23.6 MB |
| Unique views | 24 | 24 |
| Unique downloads | 28 | 28 |
- Publication date:
- January 25, 2022
- DOI:
-
- Grants:
-
European Commission:
- NewsEye - NewsEye: A Digital Investigator for Historical Newspapers (770299)
- Meeting:
- 20th International Semantic Web Conference
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International