Challenges of knowledge graph evolution from an NLP perspective

Tabea Tietz, Mehwish Alam, Harald Sack, Marieke van Erp

Research output: Contribution to conferencePaperScientificpeer-review

Abstract

Knowledge graphs often express static facts, but concepts and entities change over time. In this position paper, we propose challenges that arise from the perspective of combining NLP and KG evolution in the digital humanities domain based on preliminary experiments.
Original languageEnglish
Number of pages6
Publication statusPublished - 2020

Keywords

  • Cultural Heritage
  • Knowledge Graph Evolution
  • NLP

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