Challenges of knowledge graph evolution from an NLP perspective

ISSN: 16130073
0Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Tietz, T., Alam, M., Sack, H., & van Erp, M. (2020). Challenges of knowledge graph evolution from an NLP perspective. In CEUR Workshop Proceedings (Vol. 2695, pp. 71–76). CEUR-WS.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free