Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Melzer, Sylvia"'
Publikováno v:
In Procedia Computer Science 2023 219:658-665
Publikováno v:
Systems Engineering; Nov2024, Vol. 27 Issue 6, p993-1011, 19p
Autor:
Melzer, Sylvia
The humanities meet computer science to create new synergies using computer vision and natural language processing. Aim & Scope Historians are increasingly using technologies to evaluate digitised texts in a machine-readable way, as well as technique
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::485f45b0db631f2e159ff9f8f5b94e56
AI can support research in the Humanities making it easier and more efficient. It is thus essential that AI practitioners and Humanities scholars take a Humanities-centred approach to the development, deployment and application of AI methods for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbfe68e06f59f8076fd66cbf3565f0e5
Autor:
Melzer, Sylvia
Heurist is a data management platform for Humanities scholars, hosted at the University of Sydney since 2005 (Johnson 2008; Searle and Johnson 2014; “Home” n.d.). Using Heurist, researchers can create flexible, robust and sustainable research dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ca8be546994b3078a4d56b6403ed8d5
Autor:
Melzer, Sylvia
This presentation gives an overview about the motivation for manuscript databases. To build manuscript databases we used the database management tool Heurist which was specifically developed for the Humanities. Heurist allows you to design, populate,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc9ad6f29142890dfee6c63e66d83b3a
Autor:
Peukert, Hagen, Melzer, Sylvia, Jacob, Juliane, Brase, Lisa, Vogel, Iris, Thiemann, Stefan, Wörner, Kai, Grünler, Steffen, Heinrich, Alexander, Universität Hamburg, Center
The more recent discussion of research data practices at relevant conferences, workshops and respective publications suggest substantially different foci of problems and solutions in managing data between scientific disciplines. There seems to be a p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a62398e93837fe9330941f786b3b51e
https://leopard.tu-braunschweig.de/servlets/MCRFileNodeServlet/dbbs_derivate_00050136/Peukert_On_The_Road_To_A_Common_Understanding_Of_Data_Stewardship.pdf
https://leopard.tu-braunschweig.de/servlets/MCRFileNodeServlet/dbbs_derivate_00050136/Peukert_On_The_Road_To_A_Common_Understanding_Of_Data_Stewardship.pdf
Publikováno v:
Data Science Journal; 2023, Vol. 22, p1-13, 13p
AI can support research in the Humanities making it easier and more efficient. It is thus essential that AI practitioners and Humanities scholars take a Humanities-centred approach to the development, deployment and application of AI methods for the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::203df20a714fb95762ca394b25a68cb0