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Communication Dans Un Congrès Année : 2022

From text to data inside bibliographic records. Entity recognition and entity linking of contributors and their roles from statements of responsibility

Résumé

Sudoc is the french higher education union catalogue. It is run by Abes. As any large database (15 million records), Sudoc has some quality issues that can negatively impact the user experience or the database maintenance efforts, e.g. the process towards a LRM compliant catalogue. Quality issues are diverse: data can be inaccurate, ambiguous, miscategorized, redundant, inconsistent or missing. Sometimes, they are not really missing, they are hidden, lost in some text inside the bibliographic record itself. For instance, contributor names and roles are transcribed from the document to MARC descriptive fields (statement of responsibility). Most of them have a corresponding access point that contains the normalized name and a relator code (to express the role)-optionally the identifier of an authority record. But in Sudoc, many records have contributor mentions in descriptive fields that are not identified in access points. Moreover, many access points lack a relator code. currently still being debated with a preference for either an entity linking model or a classification model over a rule based approach. This pipeline is for Abes a first experience in adopting machine learning and building a generic approach with the librarian in the loop.
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Dates et versions

hal-03701628 , version 1 (22-06-2022)

Identifiants

  • HAL Id : hal-03701628 , version 1

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Thomas Zaragoza, Yann Nicolas, Aline Le Provost. From text to data inside bibliographic records. Entity recognition and entity linking of contributors and their roles from statements of responsibility. IFLA WLIC 2022 Satellite Conference on Artificial Intelligence, Jul 2022, Galway, Ireland. ⟨hal-03701628⟩
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