Knowledge Graphs for Digitized Manuscripts in Jagiellonian Digital Library Application
Digitizing cultural heritage collections has become crucial for preservation of historical artifacts and enhancing their availability to the wider public. Galleries, libraries, archives and museums (GLAM institutions) are actively digitizing their holdings and creates extensive digital collections. Those collections are often enriched with metadata describing items but not exactly their contents. The Jagiellonian Digital Library, standing as a good example of such an effort, offers datasets accessible through protocols like OAI-PMH. Despite these improvements, metadata completeness and standardization continue to pose substantial obstacles, limiting the searchability and potential connections between collections. To deal with these challenges, we explore an integrated methodology of computer vision (CV), artificial intelligence (AI), and semantic web technologies to enrich metadata and construct knowledge graphs for digitized manuscripts and incunabula.
Code (0)
등록된 구현이 없습니다.
Tasks
Knowledge GraphsMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Position Paper: Metadata Enrichment Model: Integrating Neural Networks and Semantic Knowledge Graphs for Cultural Heritage Applications
The digitization of cultural heritage collections has opened new directions for research, yet the lack of enriched metadata poses a substantial challenge to accessibility, interoperability, and cross-institutional collab…
Knowledge GraphsPositionEnriching Digitized Medieval Manuscripts: Linking Image, Text and Lexical Knowledge
Handwritten Paleographic Greek Text Recognition: A Century-Based Approach
Today classicists are provided with a great number of digital tools which, in turn, offer possibilities for further study and new research goals. In this paper we explore the idea that old Greek handwriting can be machin…
Handwritten Text RecognitionHTRLacuna Language Learning: Leveraging RNNs for Ranked Text Completion in Digitized Coptic Manuscripts
Ancient manuscripts are frequently damaged, containing gaps in the text known as lacunae. In this paper, we present a bidirectional RNN model for character prediction of Coptic characters in manuscript lacunae. Our best …
The Effects of Character-Level Data Augmentation on Style-Based Dating of Historical Manuscripts
Identifying the production dates of historical manuscripts is one of the main goals for paleographers when studying ancient documents. Automatized methods can provide paleographers with objective tools to estimate dates …
Data Augmentation