WEBSITE HORAE - Hours: Recognition, Analysis, Editions {R1} [ Menus: ]

stutzmann_horae 2026-09-03T22:12:23+02:00 1 378891 CMS_Home https://heurist.huma-num.fr/heurist/?recID=378891&db=stutzmann_horae WEBSITE HORAE - Hours: Recognition, Analysis, Editions {R1} [ Menus: ] 2020-03-02 15:26:51 2025-05-23 18:26:02 Database Managers HORAE - Hours: Recognition, Analysis, Editions Le projet HORAE (Hours - Recognition, Analysis, Editions) propose d’étudier les pratiques religieuses de la fin du Moyen Âge à travers les livres d’heures, le plus grand best-seller de tout le Moyen Âge et associe trois partenaires en Humanités et Sciences de l’Ingénieur du public et du privé pour une recherche transdisciplinaire : l’Institut de Recherche et d’Histoire des Textes (IRHT, UPR 841), la société TEKLIA et le Laboratoire des Sciences du Numérique de Nantes (LS2N, UMR6004). [{"name":"Page","type":"group","children":[{"name":"Content","type":"text","css":{"display":"block","border-style":"none"},"content":"HORAE is based on a cross-disciplinary research project studying religious practices and experiences in the late Middle Ages through the books of hours, the medieval best seller. In a public-private partnership, it gathered three partners in the Humanities and Computer Science: the Institut de Recherche et d’Histoire des Textes (IRHT, UPR 841), the private company TEKLIA and the Laboratoire des Sciences du Numérique de Nantes (LS2N, UMR6004). The research is continuing at IRHT with the friendly support of TEKLIA and supported by Biblissima+ for the years 2024-205\n Books of hours forms, with more than 10 000 preserved manuscripts, a vast and crucial ensemble to understand the medieval mindset. Yet, their textual content is very scarcely studied, although the massive production of such a large number of manuscripts is a pivotal cultural and industrial phenomenon to the profound changes in the medieval religious life. Not only a proto-industrial book production arises and the economics of demand shifts to the economics of offer, but also the awakening of the individual and the internalization of faith take places in an increasingly church controlled world. Books of hours are at the same time deluxe objects, implying social staging, and intimate objects, with devotional, memorial and eschatological challenges.\n HORAE combines the research and expertise of all three partners in artificial intelligence applied to Computer Vision and image analysis, in Natural Language Processing (NLP), and in book history and religious practices. The research project aims at creating an integrated chain from image treatment to producing new knowledge by placing the end user at the center of the developments, by managing formats, interoperability and long term preservation, but also ergonomics and data visualization.\n The aims encompass: (1) re-using the many digitized manuscripts, which are online but underused resources; (2) new open source software for Handwritten Text Recognition (HTR); (3) tools for segmentation and plagiarism detection, adapted to the transcription of medieval manuscripts produced by the machine in order to identify the texts in the books of hours; (4) identifying and editing unpublished texts; (5) visualization of manuscript clusters, which share the same textual characteristics in the order of the different parts (Officium Beatae Mariae Virginis, votive offices, suffrages, prayers), but also in the order of textual units to identify the liturgical use; (6) studying the diffusion and circulation of devotional and liturgical texts at the end of the Middle Ages in order to better understand the cultures and faith in the 13th c.-16th c.\n With its aims and methods, HORAE profoundly changes the ways of doing research in auxiliary sciences and tackles the challenges of big data. Books of hours have been too scarcely studied until new because they are too numerous, too complex and their text is very repetitive: now, their very number, repetitions and complexities make possible for this project to develop new and efficient technologies and methodologies and gain new knowledge on the Middle Ages.\nThe HORAE project is funded by the French National Research Agency (Agence nationale de la Recherche) with grant id <a title=\"HORAE on website of A.N.R.\" href=\"https://anr.fr/Projet-ANR-17-CE38-0008\" target=\"_blank\" rel=\"noopener\">ANR-17-CE38-0008</a>. The HORAE project has a sister project Horae Pictavenses funded by the EquipEx Biblissima <a href=\"https://anr.fr/ProjetIA-11-EQPX-0007\" target=\"_blank\" rel=\"noopener\">ANR-11-EQPX-0007</a>. The outputs of both projects are combined here. For specific visualizations of Horae Pictavenses, please go to <a href=\"https://horae-pictavenses.fr/\">https://horae-pictavenses.fr/</a>.\nThe present platform is part of a dual data publication. On Arkindex <a href=\"https://demo.arkindex.org/browse/cd38d0a4-bfd6-4bef-a44f-1d4da09226fd\">https://demo.arkindex.org/browse/cd38d0a4-bfd6-4bef-a44f-1d4da09226fd</a>), we publish the results of automated processing, we train new models for layout segmentation, HTR, work detection, and we publish the annotation and validation data. Here on Heurist: <a href=\"https://heurist.huma-num.fr/stutzmann_horae\">https://heurist.huma-num.fr/stutzmann_horae</a>), we publish the census of books of hours, the census of digitized books of hours, as well as elements of scholarly catalogue thereof, with both converted, enhanced legacy data and newly created data, and the authority data (works / uses / bibliography and references) on books of hours. We import selectively the results of validated data from Arkindex.\nThe HORAE platform benefits from the work funded by the Equipex Biblissima+ (\"Programme d’investissements d’avenir\" integrated in France 2030, reference <a href=\"https://projet.biblissima.fr/en\" target=\"_blank\" rel=\"noopener\">ANR-21-ESRE-0005</a>) and performed at IRHT on automated manuscript cataloguing, esp. within the \"<a href=\"https://projet.biblissima.fr/en/project/clusters-biblissima/cluster-3\" target=\"_blank\" rel=\"noopener\">Cluster 3 \"Artificial intelligence, pattern recognition and handwriting recognition\"</a> community and deliverables.\n \n<a title=\"Teklia\" href=\"https://www.teklia.com/\"><img src=\"./?db=stutzmann_horae&file=994191648ce344deb5305af04c98dcdf712882d3&fancybox=1&fullres=0\" alt=\"?db=stutzmann_horae&file=994191648ce344deb5305af04c98dcdf712882d3\" width=\"182\" height=\"79\" /></a> <a title=\"IRHT\" href=\"https://www.irht.cnrs.fr/\"> </a> <a title=\"ls2n\" href=\"https://www.ls2n.fr/equipe/taln/\"><img src=\"./?db=stutzmann_horae&file=d167c3472e364e893eb3a65e56eb72d9cdd6b6c5&fancybox=1&fullres=0\" alt=\"?db=stutzmann_horae&file=d167c3472e364e893eb3a65e56eb72d9cdd6b6c5\" width=\"186\" height=\"89\" /></a><a title=\"IRHT\" href=\"https://www.irht.cnrs.fr/\"><img src=\"./?db=stutzmann_horae&file=f83b6662e51c3f660b21392865d21a5a12bb5a6e&fancybox=1&fullres=0\" alt=\"?db=stutzmann_horae&file=f83b6662e51c3f660b21392865d21a5a12bb5a6e\" width=\"223\" height=\"75\" /><img src=\"./?db=stutzmann_horae&file=3f82939c9ad3ec562c6863b6b37c36dee8264f04&fancybox=1&fullres=0\" width=\"300\" data-id=\"3f82939c9ad3ec562c6863b6b37c36dee8264f04\" /></a><a title=\"ANR\" href=\"https://anr.fr/en/\"><img style=\"float: left;\" src=\"./?db=stutzmann_horae&file=fb49883457e34b85e89b678052ed5f841aae19ea&fancybox=1&fullres=0\" alt=\"?db=stutzmann_horae&file=fb49883457e34b85e89b678052ed5f841aae19ea\" width=\"87\" height=\"90\" /></a>\nCopyright © HORAE 2020","dom_id":"cms-content-4","folder":false}],"folder":true,"css":{},"dom_id":"cms-content-3"}] 2022-10-12 2022 10 12 point POINT(2.320041 48.85889) 2-63 35 0cf7cbcf973736571902f8bc27a17f0a5b7f1489 logo horae.png image/png 1 2020-03-06 17:29:04 https://heurist.huma-num.fr/heurist/?db=stutzmann_horae&file=0cf7cbcf973736571902f8bc27a17f0a5b7f1489 28 038b3cc49f1f47b394f4c9da328136962f6f9e4e icon_2.png image/png 1 2020-03-04 16:42:02 https://heurist.huma-num.fr/heurist/?db=stutzmann_horae&file=038b3cc49f1f47b394f4c9da328136962f6f9e4e 378853 736847 378857 745753 378883 378876 378854 25 8c04d8b9787705ece2fe8a63827eeee4b1fe9fea Livre_d'heures_en_latin__ArsenalMs638f45_banner_mirroir.png image/png 1086 2020-03-04 14:33:32 https://heurist.huma-num.fr/heurist/?db=stutzmann_horae&file=8c04d8b9787705ece2fe8a63827eeee4b1fe9fea Digital Humanities, Heurist, Research, Database, Open Data, Horae, Book of hours, Livre d'heures Yes Top of page, horizontal No Yes How to cite: Dominique Stutzmann (dir), Horae: Hours Recognition, Analysis, Editions, 2020-, with collab. Lise Bernard, Louis Chevalier, Silverio Franzoni, Adele Geja, Laura Lebarbey, and Svetlana Yatsyk, and data collection by Pauline Choschzick, and Melissa Connelly, (<a href="https://heurist.huma-num.fr/stutzmann_horae">https://heurist.huma-num.fr/stutzmann_horae</a>) No 1