AI and Data to Improve Preservation Management

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dc.audienceAudience::Preservation and Conservation Sectionen_US
dc.audienceAudience::National Libraries Sectionen_US
dc.contributor.authorCabane, Célia
dc.contributor.authorZreik, Alaa
dc.coverage.spatialLocation::Franceen_US
dc.date.accessioned2022-10-24T11:28:10Z
dc.date.available2022-10-24
dc.date.available2022-10-24T11:28:10Z
dc.date.issued2022-10-24
dc.description.abstractHeritage collections are increasing and aging as time passes. To analyze all the hazards which occurred to almost 40 million documents, among which centuries old manuscripts, the National Library of France (BnF – Bibliothèque nationale de France) has decided to build a research program combining data describing collections and artificial intelligence. The aim of this program is to create a choice assistant tool. It is held by the BnF and the Versailles-Saint-Quentin University and funded by the Fondation des Sciences du Patrimoine. To analyze the hazards which occurred to the documents, all the events that occurred to a given document has been placed onto a trajectory. An ontology was constructed to tackle the heterogeneity of all the databases used. This work on the data relies on the use of two algorithms, which could calculate the similarity between different trajectories, create groups and compare communicability of the documents and event trajectories. The software, based on these algorithms and a database, requires as input a document and its related data and calculate its communicability status as output. In 2022, a global review has been done to improve software, algorithms and data and to consider other AI methods concerning preservation management.en_US
dc.identifier.urihttps://2022.ifla.org/
dc.identifier.urihttps://repository.ifla.org/handle/20.500.14598/2196
dc.language.isoenen_US
dc.publisherInternational Federation of Library Associations and Institutions (IFLA)en_US
dc.relation.ispartofseries87th IFLA World Library and Information Congress (WLIC);Poster Sessions
dc.rights.holderCélia Cabaneen_US
dc.rights.holderAlaa Zreiken_US
dc.rights.licenseCC BY 4.0en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectSubject::Artificial intelligenceen_US
dc.subjectSubject::Preservation and conservationen_US
dc.subjectSubject::Cultural heritageen_US
dc.subjectSubject::National librariesen_US
dc.subjectSubject::Researchen_US
dc.titleAI and Data to Improve Preservation Managementen_US
dc.typeEvents Materialsen_US
dc.typePostersen_US
ifla.oPubId0en_US

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