Knowledge harvesting: Achievements and challenges

Gerhard Weikum; Johannes Hoffart; Fabian Suchanek

doi:10.1007/978-3-319-91908-9_13

Knowledge harvesting: Achievements and challenges

Gerhard Weikum
, Johannes Hoffart
, Fabian Suchanek

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This article gives an overview on knowledge harvesting: automatically constructing large high-quality knowledge bases from Internet sources. The first part reviews key principles and best-practice methods. The second part points out open challenges for future research.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer
Pages	217-235
Number of pages	19
DOIs	https://doi.org/10.1007/978-3-319-91908-9_13
Publication status	Published - 1 Jan 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10000
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/978-3-319-91908-9_13

Cite this

Weikum, G., Hoffart, J., & Suchanek, F. (2019). Knowledge harvesting: Achievements and challenges. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 217-235). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10000). Springer. https://doi.org/10.1007/978-3-319-91908-9_13

Weikum, Gerhard ; Hoffart, Johannes ; Suchanek, Fabian. / Knowledge harvesting : Achievements and challenges. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, 2019. pp. 217-235 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Weikum, G, Hoffart, J & Suchanek, F 2019, Knowledge harvesting: Achievements and challenges. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10000, Springer, pp. 217-235. https://doi.org/10.1007/978-3-319-91908-9_13

Knowledge harvesting: Achievements and challenges. / Weikum, Gerhard; Hoffart, Johannes; Suchanek, Fabian.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer, 2019. p. 217-235 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10000).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Knowledge harvesting

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AU - Hoffart, Johannes

AU - Suchanek, Fabian

PY - 2019/1/1

Y1 - 2019/1/1

N2 - This article gives an overview on knowledge harvesting: automatically constructing large high-quality knowledge bases from Internet sources. The first part reviews key principles and best-practice methods. The second part points out open challenges for future research.

AB - This article gives an overview on knowledge harvesting: automatically constructing large high-quality knowledge bases from Internet sources. The first part reviews key principles and best-practice methods. The second part points out open challenges for future research.

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DO - 10.1007/978-3-319-91908-9_13

M3 - Chapter

AN - SCOPUS:85087454997

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 217

EP - 235

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer

ER -

Weikum G, Hoffart J, Suchanek F. Knowledge harvesting: Achievements and challenges. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer. 2019. p. 217-235. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-91908-9_13

Knowledge harvesting: Achievements and challenges

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