scholarly journals Big data literario de raíz bibliotecaria: reflexiones sobre infraestructuras de anotación, catalogación, descubrimiento y recomendación de ficción narrativa

2021 ◽  
Author(s):  
Tomás Saorín
Keyword(s):  
Big Data ◽  
Digital Library ◽  
Digital Humanities ◽  
Open Data ◽  
Literary Fiction ◽  
Literary Texts ◽  
Digital Content ◽  
Distant Reading ◽  
Content Consumption ◽  
Data Infrastructures

This work explores the relationships between the field of literary studies based on data inspired by the “distant reading” school and the digital humanities and the activity of libraries and other agents of the book sector in the ecosystem of recommendation and discovery of readings. Projects for enriching catalogues and description resources about literary fiction are presented, such as OCLC FictionFinder and Kirjasampo, within the framework of transmedia and open metadata, understood in relation to the practices of digital content consumption platforms such as Netflix or Amazon Prime Video. Besides, other practices of annotation and editing of literary texts are outlined. Finally, I explain opportunities to develop digital Library Laboratories supported by open data infrastructures such as Wikidata for the enriched description past and present of narrative fictions in a collaborative way, to enable projects and services for the discovery of related readings. Resumen Se describe la relación entre el campo de los estudios literarios basados en datos de la corriente distant reading y las humanidades digitales, y la actividad de las bibliotecas y otras entidades del sector del libro en el ecosistema de la recomendación y el descubrimiento de lecturas. Se presentan proyectos de catalogación y descripción enriquecida de la ficción literaria, como OCLC FictionFinder y Kirjasampo, en el marco de los metadatos transmedia y abiertos, entendidos en relación con las prácticas de plataformas de consumo de contenidos digitales como Netflix o Amazon Prime Video, junto a otras prácticas de anotación y edición de textos literarios. Finalmente se plantea la oportunidad de desarrollo de laboratorios bibliotecarios digitales apoyados en infraestructuras de datos abiertas como Wikidata para la descripción enriquecida de ficciones narrativas de todas las épocas de forma colaborativa, para posibilitar proyectos y servicios de descubrimiento de lecturas relacionadas.

Book Reviews

2016 ◽  
Vol 1 (1) ◽  
pp. 156-157
Author(s):  
Arne Hintz
Keyword(s):  
New York ◽  
Social Media ◽  
Big Data ◽  
Open Data ◽  
Data Infrastructures

Kitchin, Rob (2014). The Data Revolution: Big Data, Open Data, Data Infrastructures & Their Consequences. London: Sage. ISBN: 9 7814 4628 7484.Elmer, Greg, Ganaele Langlois and Joanna Redden (eds) (2015). Compromised Data: From Social Media to Big Data. New York: Bloomsbury. ISBN: 9 7815 0130 6518.

Big Data, Global Villages

2016 ◽  
Vol 1 (1-4) ◽  
pp. 131-162 ◽  
Author(s):  
Marcel Lepper
Keyword(s):  
Big Data ◽  
Quantitative Analysis ◽  
Digital Humanities ◽  
Heuristic Approach ◽  
Distant Reading ◽  
Text Corpora ◽  
Text Production ◽  
Material Basis ◽  
Political Conditions ◽  
And Storage

How should the field of philology react to the ongoing quantitative growth of its material basis? This essay will first discuss two opposing strategies: The quantitative analysis of large amounts of data, promoted above all by Franco Moretti, is contrasted with the canon-oriented method of resorting to small corpora. Yet both the culturally conservative anxiety over growing masses of texts as well as the enthusiasm for the ‘digital humanities’ and the technological indexation of large text corpora prove to be unmerited when considering the complexity of the problem. Therefore, this essay advocates for a third, heuristic approach, which 1) accounts for the changes in global text production and storage, 2) is conscious of the material-political conditions that determine the accessibility of texts, and 3) creates a bridge between close and distant reading by binding quantitative approaches to fundamental, qualitative philological principles, thus helping philologists keep track of the irritating, provocative, and subversive elements of texts that automated queries inevitably miss.

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