Analytical Edition Detection In Bibliographic Metadata

Show simple item record Ijaz, Ali Roivainen, Hege Lahti, Leo 2020-04-24T11:17:01Z 2020-04-24T11:17:01Z 2019-07-11
dc.identifier.citation Ijaz , A , Roivainen , H & Lahti , L 2019 , ' Analytical Edition Detection In Bibliographic Metadata ' , DH2019 , Utrecht , Netherlands , 08/07/2019 - 12/07/2019 . < >
dc.identifier.citation conference
dc.identifier.other PURE: 131137028
dc.identifier.other PURE UUID: d35da76d-2c02-4517-9fcd-f39e2db6d7d7
dc.identifier.other ORCID: /0000-0002-0489-3278/work/72780523
dc.description.abstract Analytical bibliography's aim is to understand books and other printed objects as artifacts and how they were produced. Bibliographic metadata can represent important historical trends and resolve issues such as the ordering of editions. In this paper, we present the state of the art analytical approach for determining editions and their ordering. By providing harmonized data and information on historical developments in book production, this will be a great aid for projects aiming to do large-scale text mining. Contemporary text mining approaches do not utilize edition level information to the fullest extent and therefore are limited in their scope. Using the ESTC metadata, we have developed harmonizing techniques that convert free-form text into more coherent entries for statistical analysis. Furthermore, a new gold standard was developed for validation purposes, with multiple layers of information. The use of this data would significantly enhance the understanding of early modern publishing. en
dc.language.iso eng
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 113 Computer and information sciences
dc.title Analytical Edition Detection In Bibliographic Metadata en
dc.type Abstract
dc.contributor.organization Digital Humanities
dc.contributor.organization Department of Digital Humanities
dc.description.reviewstatus Peer reviewed
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion
dc.type.version publishedVersion

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