Challenges of knowledge graph evolution from an NLP perspective

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

Challenges of knowledge graph evolution from an NLP perspective

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

Research output: Contribution to journal › Conference article › peer-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 language	English
Pages (from-to)	71-76
Number of pages	6
Journal	CEUR Workshop Proceedings
Volume	2695
Publication status	Published - 1 Jan 2020
Externally published	Yes
Event	3rd Workshop on Humanities in the Semantic Web, WHiSe 2020 - Virtual, Heraklion, Greece Duration: 2 Jun 2020 → …

Keywords

Cultural Heritage
Knowledge Graph Evolution
NLP

Cite this

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title = "Challenges of knowledge graph evolution from an NLP perspective",

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.",

keywords = "Cultural Heritage, Knowledge Graph Evolution, NLP",

author = "Tabea Tietz and Mehwish Alam and Harald Sack and \{van Erp\}, Marieke",

note = "Publisher Copyright: Copyright {\textcopyright} 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; 3rd Workshop on Humanities in the Semantic Web, WHiSe 2020 ; Conference date: 02-06-2020",

year = "2020",

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volume = "2695",

pages = "71--76",

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TY - JOUR

T1 - Challenges of knowledge graph evolution from an NLP perspective

AU - Tietz, Tabea

AU - Alam, Mehwish

AU - Sack, Harald

AU - van Erp, Marieke

PY - 2020/1/1

Y1 - 2020/1/1

N2 - 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.

AB - 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.

KW - Cultural Heritage

KW - Knowledge Graph Evolution

KW - NLP

UR - https://www.scopus.com/pages/publications/85095966893

M3 - Conference article

AN - SCOPUS:85095966893

SN - 1613-0073

VL - 2695

SP - 71

EP - 76

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 3rd Workshop on Humanities in the Semantic Web, WHiSe 2020

Y2 - 2 June 2020

ER -

Challenges of knowledge graph evolution from an NLP perspective

Abstract

Keywords

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