Challenges of knowledge graph evolution from an NLP perspective

ISSN: 16130073
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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.

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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.

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