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

DHLab

Onderzoeksoutput: Bijdrage aan conferentie › Paper › Wetenschappelijk › peer review

Samenvatting

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.

Originele taal-2	Engels
Aantal pagina's	6
Status	Gepubliceerd - 2020

Toegang tot document

http://ceur-ws.org/Vol-2695/

Andere bestanden en links

Citeer dit

@conference{4372232a705449a1b20fc593f93303e4,

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 = "Geen doi bij dit document",

year = "2020",

language = "English",

}

TY - CONF

T1 - Challenges of knowledge graph evolution from an NLP perspective

AU - Tietz, Tabea

AU - Alam, Mehwish

AU - Sack, Harald

AU - van Erp, Marieke

N1 - Geen doi bij dit document

PY - 2020

Y1 - 2020

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.mendeley.com/catalogue/60dfb8cb-8ab0-33aa-81ed-316d64ee395e/

M3 - Paper

ER -

Challenges of knowledge graph evolution from an NLP perspective

Samenvatting

Toegang tot document

Andere bestanden en links

Vingerafdruk

Citeer dit