6 papers
A Three-stage Neuro-symbolic Recommendation Pipeline for Cultural Heritage Knowledge Graphs
Krzysztof Kutt, Elżbieta Sroka, Oleksandra Ishchuk +1
The growing volume of digital cultural heritage resources highlights the need for advanced recommendation methods capable of interpreting semantic relationships between heterogeneo…
Iconographic Classification and Content-Based Recommendation for Digitized Artworks
Krzysztof Kutt, Maciej BaczyÅski
We present a proof-of-concept system that automates iconographic classification and content-based recommendation of digitized artworks using the Iconclass vocabulary and selected a…
Cloud-based digitization workflow with rich metadata acquisition for cultural heritage objects
Krzysztof Kutt, Luiz do Valle Miranda, Jakub GomuÅka +1
In response to several cultural heritage initiatives at the Jagiellonian University, we developed a new digitization workflow in collaboration with the Jagiellonian Library (JL). T…
Unfolding the Past: A Comprehensive Deep Learning Approach to Analyzing Incunabula Pages
Klaudia Ropel, Krzysztof Kutt, Luiz do Valle Miranda +1
We developed a proof-of-concept method for the automatic analysis of the structure and content of incunabula pages. A custom dataset comprising 500 annotated pages from five differ…
Rich Interoperable Metadata for Cultural Heritage Projects at Jagiellonian University
Luiz do Valle Miranda, Krzysztof Kutt, Elżbieta Sroka +1
The rich metadata created nowadays for objects stored in libraries has nowhere to be stored, because core standards, namely MARC 21 and Dublin Core, are not flexible enough. The ai…
Knowledge Graphs for Digitized Manuscripts in Jagiellonian Digital Library Application
Jan Ignatowicz, Krzysztof Kutt, Grzegorz J. Nalepa
Digitizing cultural heritage collections has become crucial for preservation of historical artifacts and enhancing their availability to the wider public. Galleries, libraries, arc…