About
MZK Labs seeks to find new ways to combine the library’s digital cultural heritage collections and research. Here you will find different data sets made by the Moravian Library to inspire and deepen the knowledge of what collections we have engaged in or showcase the different materials or collections that we have available, or expand the use of these. Among our data sets we provide access to images, full texts and metadata. We also offer a selection of tools that may support your engagement. The access is available by download and through various interfaces.
Martina Dvořáková
As a Project Coordinator, Martina is responsible for the various projects at the Moravian Library. Currently, she is involved in "OmniOMR - optical music recognition using machine learning for digital libraries," "semANT - Semantic Document Exploration," and "Orbis pictus - book revival for cultural and creative sectors." From 2020-2022 she contributed to the research team of "PERO - Advanced content extraction and recognition for printed and handwritten documents for better accessibility and usability". Martina also provides support in the areas of project communication with project partners as well as cooperation with the working groups. Lastly she is responsible for managing the content of the Labs website. Being a historian, she has a keen interest in digital humanities and digital heritage. Thanks to her expertise, she is a part of the main research team in the field of digital humanities at the Moravian Library.
Martina Dvořáková
Filip Jebavý
Filip specializes in research in AI, Music Information Retrieval and Digital Humanities. His research focuses primarily on the analytical capabilities of artificial neural networks. He currently works as the head of the Digital Document Management Department at the Moravian Library. Here he is involved in several projects in the field of digital humanities, especially in the area of machine learning. Together with his team, he also develops and maintains several tools to improve and facilitate the digitalization or management of digital documents. Currently, his main focus is on streamlining and modernizing library processes using artificial intelligence tools and other advanced techniques.
Filip Jebavý
Petr Žabička
Petr is an expert in library automation with experience in digitisation, digital libraries, and machine learning. As an associate director at the Moravian Library, he is responsible for research and development projects. Currently, his activities focus on implementing machine learning technologies to enhance access to digitised documents. He has been involved in the PERO project, which aimed to improve the accuracy of digitised texts through the application of machine learning algorithms to optical character recognition (OCR). Previously, he led projects related to map digitisation, online access to digitised maps, and the development of the Czech library portal (Knihovny.cz).
Petr Žabička