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METAREVE

Extraction de METAdonnées par REconnaissance VocalE

le projet interdisciplinaire METAREVE propose de simplifier cette démarche en l’accompagnant depuis la production des données sur le terrain jusqu’à leur traitement ex situ. La méthode innovante proposée vise à automatiser l’extraction de ces informations à l’aide d’approches de compréhension automatique de la parole empruntées au domaine de l’intelligence artificielle, en s’appuyant pour cela sur des thésaurus construits par les différentes communautés mobilisées dans les sciences du patrimoine.

For the heritage sciences, a field for the production of societal and collective knowledge based on a perpetual confrontation between material objects and multi-disciplinary studies combining human and social sciences and experimental sciences, the challenges of digital data management are today, thanks to the acquisition of recent maturity, confronted with the strong heterogeneity of documentary sources (texts, images, videos, etc.), analytical data (from various sensors, imaging techniques, sample analyses, etc.) and processing processes mobilised for the purposes of description, analysis, monitoring or conservation. ), analytical data (from a variety of sensors, imaging techniques, sample analysis, etc.) and processing methods used for description, analysis, monitoring and conservation. Metadata and provenance paradata are the guarantors of the reliability of data, providing invaluable information about the contexts in which it was acquired and the possibilities for subsequent re-use. However, their rigorous production is often time-consuming and even tedious, as the information to be provided is both diverse and difficult to retrieve at a later date. In this context, the interdisciplinary METAREVE project proposes to simplify this process by accompanying it from the production of data in the field to its ex situ processing. The innovative method proposed aims to automate the extraction of this information using automatic speech understanding approaches borrowed from the field of artificial intelligence, drawing on thesauri constructed by the various communities involved in heritage science. In particular, it aims to provide a software building block that can feed the ecosystem developed as part of the EquipEx+ ESPADON.

Contact : Violette Abergel

MAP members : Violette Abergel

Project partners : Vincent Detalle (SATIE), Olivier Malavergne (CRC), Besma Zeddini (SATIE)

Funding : 2023-2024 (Fondation des Sciences du Patrimoine)

References: 

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