More than the Name of the Rose: How to Make Computers Read, See, and Organize Smells.

The article explores the history of smell and how it can be conveyed through digitized collections, specifically the Odeuropa project. The authors explain how this project aims to design a "computer nose," which allows artificial intelligence (AI) to capture references to smells within digital herit...

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Publicado en:American Historical Review Vol. 128; no. 1; pp. 335 - 370
Autores principales: Erp, Marieke van, Tullett, William, Christlein, Vincent, Ehrhart, Thibault, Hürriyetoğlu, Ali, Leemans, Inger, Lisena, Pasquale, Menini, Stefano, Schwabe, Daniel, Tonelli, Sara, Troncy, Raphaël, Zinnen, Mathias
Formato: Artículo
Publicado: Oxford University Press / USA Mar2023
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: More than the Name of the Rose: How to Make Computers Read, See, and Organize Smells.
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          Erp, Marieke van
          Tullett, William
          Christlein, Vincent
          Ehrhart, Thibault
          Hürriyetoğlu, Ali
          Leemans, Inger
          Lisena, Pasquale
          Menini, Stefano
          Schwabe, Daniel
          Tonelli, Sara
          Troncy, Raphaël
          Zinnen, Mathias
        affil:
          Digital Humanities Research Lab (DHLab), KNAW Humanities Cluster , The Netherlands
          Associate Professor of sensory history, Anglia Ruskin University in Cambridge, UK
          Head of Computer Vision Group, Pattern Recognition Lab, Friedrich-Alexander University of Erlangen-Nürnberg , Germany
          Research Engineer, Data Science Department at EURECOM , France
          Royal Netherlands Academy of Arts and Sciences (KNAW) Humanities Cluster DHLab , The Netherlands
          Professor of Cultural History, Vrije Universiteit Amsterdam , Amsterdam, The Netherlands
          Researcher, Data Science Department at EURECOM , France
          Researcher, Digital Humanities Research Group , Fondazione Bruno Kessler, Italy
          Visiting Researcher, AI Laboratory, Joszef Stefan Institute , Italy
          Head of the Digital Humanities Research Group, Fondazione Bruno Kessler , Italy
          Associate Professor of Data Science at EURECOM, France
          PhD candidate, Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg , Germany
      su:
        Smell
        Olfactometry
        Electronic noses
        Historical research methods
        Digital libraries
        Natural language processing
        Knowledge graphs
      sug:
        subj:
          Smell
          Olfactometry
          Electronic noses
          Historical research methods
          Digital libraries
          Natural language processing
          Knowledge graphs
      ab: The article explores the history of smell and how it can be conveyed through digitized collections, specifically the Odeuropa project. The authors explain how this project aims to design a "computer nose," which allows artificial intelligence (AI) to capture references to smells within digital heritage collections, and how it utilizes natural language processing (NLP) and organizes them into a knowledge graph.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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