Encyclopedia of Big Data Technologies

Living Edition
| Editors: Sherif Sakr, Albert Zomaya

Knowledge Graphs in the Libraries and Digital Humanities Domain

  • Bernhard Haslhofer
  • Antoine Isaac
  • Rainer Simon
Living reference work entry
DOI: https://doi.org/10.1007/978-3-319-63962-8_291-1

Definition

Knowledge graphs represent concepts (e.g., people, places, events) and their semantic relationships. As a data structure, they underpin a digital information system, support users in resource discovery and retrieval, and are useful for navigation and visualization purposes. Within the libraries and humanities domain, knowledge graphs are typically rooted in knowledge organization systems, which have a century-old tradition and have undergone their digital transformation with the advent of the Web and Linked Data. Being exposed to the Web, metadata and concept definitions are now forming an interconnected and decentralized global knowledge network that can be curated and enriched by community-driven editorial processes. In the future, knowledge graphs could be vehicles for formalizing and connecting findings and insights derived from the analysis of possibly large-scale corpora in the libraries and digital humanities domain.

Overview

The term “knowledge graph” was popularized...

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Bernhard Haslhofer
    • 1
  • Antoine Isaac
    • 2
  • Rainer Simon
    • 1
  1. 1.Austrian Institute of TechnologyViennaAustria
  2. 2.Europeana FoundationThe HagueThe Netherlands

Section editors and affiliations

  • Philippe Cudré-Mauroux
    • 1
  • Olaf Hartig
    • 2
  1. 1.eXascale InfolabUniversity of FribourgFribourgSwitzerland
  2. 2.Linköping UniversityLinköpingSweden