A Comprehensive Extraction of Relevant Real-World-Event Qualifiers for Semantic Search Engines
| Main Authors: | Bernard, Guillaume, Suire, Cyrille, Faucher, Cyril, Doucet, Antoine |
|---|---|
| Format: | Proceeding Journal |
| Bahasa: | eng |
| Terbitan: |
, 2022
|
| Online Access: |
https://zenodo.org/record/5900757 |
| ctrlnum |
5900757 |
|---|---|
| fullrecord |
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<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><creator>Bernard, Guillaume</creator><creator>Suire, Cyrille</creator><creator>Faucher, Cyril</creator><creator>Doucet, Antoine</creator><date>2022-01-25</date><description>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 realworld-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</description><identifier>https://zenodo.org/record/5900757</identifier><identifier>10.5281/zenodo.5900757</identifier><identifier>oai:zenodo.org:5900757</identifier><language>eng</language><relation>info:eu-repo/grantAgreement/EC/H2020/770299/</relation><relation>doi:10.5281/zenodo.5900756</relation><relation>url:https://zenodo.org/communities/newseye</relation><rights>info:eu-repo/semantics/openAccess</rights><rights>https://creativecommons.org/licenses/by/4.0/legalcode</rights><title>A Comprehensive Extraction of Relevant Real-World-Event Qualifiers for Semantic Search Engines</title><type>Journal:Proceeding</type><type>Journal:Proceeding</type><recordID>5900757</recordID></dc>
|
| language |
eng |
| format |
Journal:Proceeding Journal Journal:Journal |
| author |
Bernard, Guillaume Suire, Cyrille Faucher, Cyril Doucet, Antoine |
| title |
A Comprehensive Extraction of Relevant Real-World-Event Qualifiers for Semantic Search Engines |
| publishDate |
2022 |
| url |
https://zenodo.org/record/5900757 |
| contents |
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 realworld-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 |
| id |
IOS16997.5900757 |
| institution |
ZAIN Publications |
| institution_id |
7213 |
| institution_type |
library:special library |
| library |
Cognizance Journal of Multidisciplinary Studies |
| library_id |
5267 |
| collection |
Cognizance Journal of Multidisciplinary Studies |
| repository_id |
16997 |
| subject_area |
Multidisciplinary |
| city |
Stockholm |
| province |
INTERNASIONAL |
| shared_to_ipusnas_str |
1 |
| repoId |
IOS16997 |
| first_indexed |
2022-06-06T04:01:41Z |
| last_indexed |
2022-06-06T04:01:41Z |
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dc |
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1734900802474999808 |
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17.610363 |