The Brill Knowledge Graph

A Database of Bibliographic References and Index Terms Extracted from Books in Humanities and Social Sciences

Authors

  • Natallia Kokash University of Amsterdam
  • Matteo Romanello University of Lausanne
  • Ernest Suyver Brill
  • Giovanni  Colavizza University of Amsterdam, University of Bologna https://orcid.org/0000-0002-9806-084X

DOI:

https://doi.org/10.1163/24523666-bja10036

Keywords:

data mining, PDF parsing, index, bibliography, knowledge graph, academic publishing

Abstract

With the recognition of content discoverability and information analytics in the  scientific publishing industry, more and more effort is dedicated to digitization  and automated analysis of scholarly publications. As part of this effort, the authors  research data journal for the humanities and social sciences 9 (2024) 1–21 designed a pipeline to extract structured information from bibliography and index lists  of existing scholarly publications, as well as to disambiguate and export it as linked  data. In this article, the authors present the Brill Knowledge Graph (kg), obtained by  applying this pipeline to a corpus of books in the Arts, Humanities and Social Sciences  (ahss) provided by the publisher Brill.

Author Biographies

  • Natallia Kokash, University of Amsterdam

    Institute for Logic, Language and Computation, University of Amsterdam, Amsterdam, the Netherlands

  • Matteo Romanello, University of Lausanne

    Institute of Archeology and Classical Studies, University of Lausanne, Lausanne, Switzerland

  • Ernest Suyver, Brill

    Brill, Leiden, the Netherlands

  • Giovanni  Colavizza, University of Amsterdam, University of Bologna

    Corresponding author, University of Amsterdam, Amsterdam, the Netherlands, Department of Classical and Italian Philology, University of Bologna, Bologna, Italy

Downloads

Published

2025-10-10

Issue

Section

Data Papers

How to Cite

The Brill Knowledge Graph: A Database of Bibliographic References and Index Terms Extracted from Books in Humanities and Social Sciences. (2025). Research Data Journal for the Humanities and Social Sciences, 9, 1-21. https://doi.org/10.1163/24523666-bja10036