Track 05 – Analysis and Interpretation

Permanent URI for this collection

https://diglib.eg.org/handle/10.2312/3607222

Browse

Browsing Track 05 – Analysis and Interpretation by Subject "Applied computing → Arts and humanities"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    From Scanned Pages to Semantic Graphs: Scalable Methods for Extracting Historical and Cultural Knowledge Across Heterogeneous Texts
    (The Eurographics Association, 2025) Malak, Piotr; Letowska, Agnieszka; Wodzinski, Jan; Campana, Stefano; Ferdani, Daniele; Graf, Holger; Guidi, Gabriele; Hegarty, Zackary; Pescarin, Sofia; Remondino, Fabio
    We present a multilayered methodology for processing digitized historical texts, enabling cross-relational analysis across time periods, languages, and subject domains. Drawing from multiple DH platforms (Tsadikim, Two Enlightenments, Corporeality), we demonstrate an integrated pipeline combining adaptive OCR, noise-tolerant keyword extraction, and NER. Custom preprocessing and fuzzy matching techniques allow for meaningful text recovery from degraded scans in Polish, German, and Yiddish. Data are enriched with spatial and temporal metadata, indexed by topic and linked across projects. The resulting datasets support trend analysis, social network modeling, and discourse mapping. Our approach enables researchers to trace linguistic shifts and intellectual networks over centuries without manual review of source pages. This workflow facilitates interoperable exploration of cultural data and demonstrates how machine learning can assist in recovering semantic relationships from fragmented historical records. The methodology was tested on Enlightenment-era and early 20th-century journals, revealing both technical challenges and insights into evolving ideological, medical, and theological vocabularies.