Exploratory methods for relation discovery in archival data.
In this article, we propose a holistic approach to discover relations in art historical communities and enrich historians' biographies and archival descriptions with graph patterns relevant to art historiographic enquiry. We use exploratory data analysis to detect patterns, we select features, and w...
| Published in: | Digital Scholarship in the Humanities Vol. 38; no. 1; pp. 111 - 127 |
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| Main Authors: | , , , |
| Format: | Article |
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Oxford University Press / USA
Apr2023
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| Subjects: | |
| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=162941099&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 162941099 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Apr2023 vid: 38 iid: 1 pid: 622 pub: Oxford University Press / USA artinfo: ui: 162941099 10.1093/llc/fqac036 ppf: 111 ppct: 16 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1MB tig: atl: Exploratory methods for relation discovery in archival data. aug: au: Giagnolini, Lucia Daquino, Marilena Mambelli, Francesca Tomasi, Francesca affil: Historical Archive of the University of Bologna , Italy Digital Humanities Advanced Research Centre (DH.arc), University of Bologna , Italy Fondazione Federico Zeri, University of Bologna , Italy su: Art & society Data analysis Archivists sug: subj: Art & society Data analysis Archivists ab: In this article, we propose a holistic approach to discover relations in art historical communities and enrich historians' biographies and archival descriptions with graph patterns relevant to art historiographic enquiry. We use exploratory data analysis to detect patterns, we select features, and we use them to evaluate classification models to predict new relations, to be recommended to archivists during the cataloguing phase. Results show that relations based on biographical information can be addressed with higher precision than relations based on research topics or institutional relations. Deterministic and a priori rules present better results than probabilistic methods. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2023 holdings: @attributes: islocal: N |
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