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A Comprehensive Extraction of Relevant Real-World-Event Qualifiers for Semantic Search Engines

Authors: Bernard, Guillaume; Suire, Cyrille; Faucher, Cyril; Doucet, Antoine;

A Comprehensive Extraction of Relevant Real-World-Event Qualifiers for Semantic Search Engines

Abstract

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

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France
Related Organizations
Keywords

Event, Information Retrieval, [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing, Linked and Open Data, [INFO] Computer Science [cs]

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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