This paper proposes a graph-based algorithm baptized REDEN for the disambiguation of authors' names in French literary criticism texts and scientific essays from the 19th century. It leverages knowledge from different Linked Data sources in order to select candidates for each author mention, then performs fusion of DBpedia and BnF individuals into a single graph, and finally decides the best referent using the notion of graph centrality. Some experiments are conducted in order to identify the best size of disambiguation context and to assess the influence on centrality of specific relations represented as edges. This work will help scholars to trace the impact of authors' ideas across different works and time periods.

Disambiguation of Named Entities in Cultural Heritage Texts Using Linked Data Sets

Francesca Frontini;
2015

Abstract

This paper proposes a graph-based algorithm baptized REDEN for the disambiguation of authors' names in French literary criticism texts and scientific essays from the 19th century. It leverages knowledge from different Linked Data sources in order to select candidates for each author mention, then performs fusion of DBpedia and BnF individuals into a single graph, and finally decides the best referent using the notion of graph centrality. Some experiments are conducted in order to identify the best size of disambiguation context and to assess the influence on centrality of specific relations represented as edges. This work will help scholars to trace the impact of authors' ideas across different works and time periods.
Campo DC Valore Lingua
dc.authority.anceserie COMMUNICATIONS IN COMPUTER AND INFORMATION SCIENCE (PRINT) -
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC -
dc.authority.people Carmen Brando it
dc.authority.people Francesca Frontini it
dc.authority.people JeanGabriel Ganascia it
dc.collection.id.s 8c50ea44-be95-498f-946e-7bb5bd666b7c *
dc.collection.name 02.01 Contributo in volume (Capitolo o Saggio) *
dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
dc.contributor.appartenenza.mi 918 *
dc.date.accessioned 2024/02/19 19:24:40 -
dc.date.available 2024/02/19 19:24:40 -
dc.date.issued 2015 -
dc.description.abstracteng This paper proposes a graph-based algorithm baptized REDEN for the disambiguation of authors' names in French literary criticism texts and scientific essays from the 19th century. It leverages knowledge from different Linked Data sources in order to select candidates for each author mention, then performs fusion of DBpedia and BnF individuals into a single graph, and finally decides the best referent using the notion of graph centrality. Some experiments are conducted in order to identify the best size of disambiguation context and to assess the influence on centrality of specific relations represented as edges. This work will help scholars to trace the impact of authors' ideas across different works and time periods. -
dc.description.affiliations Labex OBVIL. LiP6, UPMC. CNRS Istituto di Linguistica Computazionale CNR -
dc.description.allpeople Carmen Brando; Francesca Frontini; JeanGabriel Ganascia -
dc.description.allpeopleoriginal Carmen Brando, Francesca Frontini, Jean-Gabriel Ganascia -
dc.description.fulltext none en
dc.description.numberofauthors 1 -
dc.identifier.doi 10.1007/978-3-319-23201-0_51 -
dc.identifier.isbn 978-3-319-23200-3 -
dc.identifier.uri https://hdl.handle.net/20.500.14243/292095 -
dc.identifier.url http://link.springer.com/chapter/10.1007%2F978-3-319-23201-0_51 -
dc.language.iso eng -
dc.relation.alleditors Tadeusz Morzy, Patrick Valduriez, Ladjel Bellatreche -
dc.relation.firstpage 505 -
dc.relation.ispartofbook New Trends in Databases and Information Systems -
dc.relation.lastpage 514 -
dc.relation.numberofpages 10 -
dc.subject.keywords Named-entity disambiguation Centrality Linked data Data fusion Digital humanities -
dc.subject.singlekeyword Named-entity disambiguation Centrality Linked data Data fusion Digital humanities *
dc.title Disambiguation of Named Entities in Cultural Heritage Texts Using Linked Data Sets en
dc.type.driver info:eu-repo/semantics/bookPart -
dc.type.full 02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio) it
dc.type.miur 268 -
dc.type.referee Sì, ma tipo non specificato -
dc.ugov.descaux1 334082 -
iris.orcid.lastModifiedDate 2024/03/02 04:06:15 *
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Appare nelle tipologie: 02.01 Contributo in volume (Capitolo o Saggio)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/292095
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