Automated Schema Quality Measurement in Large-Scale Information Systems

Lisa Ehrlinger; Wolfram Wöß

doi:10.1007/978-3-030-19143-6_2

Automated Schema Quality Measurement in Large-Scale Information Systems

Institute for Application-oriented Knowledge Processing

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

Original language	English
Title of host publication	Data Quality and Trust in Big Data - 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Revised Selected Papers
Editors	Rui Zhou, Tetsuya Yoshida, Azadeh Sarkheyli, Quan Z. Sheng, Hakim Hacid
Place of Publication	Cham, Switzerland
Publisher	Springer International Publishing
Pages	16-31
Number of pages	16
ISBN (Print)	978-3-030-19142-9
DOIs	https://doi.org/10.1007/978-3-030-19143-6_2
Publication status	Published - 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11235 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Fields of science

102010 Database systems
102015 Information systems
102033 Data mining
509018 Knowledge management

JKU Focus areas

Digital Transformation

Access to Document

10.1007/978-3-030-19143-6_2

Cite this

Ehrlinger, L., & Wöß, W. (2019). Automated Schema Quality Measurement in Large-Scale Information Systems. In R. Zhou, T. Yoshida, A. Sarkheyli, Q. Z. Sheng, & H. Hacid (Eds.), Data Quality and Trust in Big Data - 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Revised Selected Papers (pp. 16-31). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11235 LNCS). Springer International Publishing. https://doi.org/10.1007/978-3-030-19143-6_2

Ehrlinger, Lisa ; Wöß, Wolfram. / Automated Schema Quality Measurement in Large-Scale Information Systems. Data Quality and Trust in Big Data - 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Revised Selected Papers. editor / Rui Zhou ; Tetsuya Yoshida ; Azadeh Sarkheyli ; Quan Z. Sheng ; Hakim Hacid. Cham, Switzerland : Springer International Publishing, 2019. pp. 16-31 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{48ba1eb0de10491b8633a8b8c39e7bbf,

title = "Automated Schema Quality Measurement in Large-Scale Information Systems",

author = "Lisa Ehrlinger and Wolfram W{\"o}{\ss}",

year = "2019",

doi = "10.1007/978-3-030-19143-6\_2",

language = "English",

isbn = "978-3-030-19142-9",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer International Publishing",

pages = "16--31",

editor = "Rui Zhou and Tetsuya Yoshida and Azadeh Sarkheyli and Sheng, \{Quan Z.\} and Hakim Hacid",

booktitle = "Data Quality and Trust in Big Data - 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Revised Selected Papers",

}

Ehrlinger, L & Wöß, W 2019, Automated Schema Quality Measurement in Large-Scale Information Systems. in R Zhou, T Yoshida, A Sarkheyli, QZ Sheng & H Hacid (eds), Data Quality and Trust in Big Data - 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11235 LNCS, Springer International Publishing, Cham, Switzerland, pp. 16-31. https://doi.org/10.1007/978-3-030-19143-6_2

Automated Schema Quality Measurement in Large-Scale Information Systems. / Ehrlinger, Lisa ; Wöß, Wolfram.
Data Quality and Trust in Big Data - 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Revised Selected Papers. ed. / Rui Zhou; Tetsuya Yoshida; Azadeh Sarkheyli; Quan Z. Sheng; Hakim Hacid. Cham, Switzerland: Springer International Publishing, 2019. p. 16-31 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11235 LNCS).

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

TY - GEN

T1 - Automated Schema Quality Measurement in Large-Scale Information Systems

AU - Ehrlinger, Lisa

AU - Wöß, Wolfram

PY - 2019

Y1 - 2019

UR - https://www.scopus.com/pages/publications/85065504151

U2 - 10.1007/978-3-030-19143-6_2

DO - 10.1007/978-3-030-19143-6_2

M3 - Conference proceedings

SN - 978-3-030-19142-9

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

SP - 16

EP - 31

BT - Data Quality and Trust in Big Data - 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Revised Selected Papers

A2 - Zhou, Rui

A2 - Yoshida, Tetsuya

A2 - Sarkheyli, Azadeh

A2 - Sheng, Quan Z.

A2 - Hacid, Hakim

PB - Springer International Publishing

CY - Cham, Switzerland

ER -

Ehrlinger L , Wöß W. Automated Schema Quality Measurement in Large-Scale Information Systems. In Zhou R, Yoshida T, Sarkheyli A, Sheng QZ, Hacid H, editors, Data Quality and Trust in Big Data - 5th International Workshop, QUAT 2018, Held in Conjunction with WISE 2018, Revised Selected Papers. Cham, Switzerland: Springer International Publishing. 2019. p. 16-31. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-19143-6_2

Automated Schema Quality Measurement in Large-Scale Information Systems

Publication series

Fields of science

JKU Focus areas

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Other files and links

dasRES-Data Management and Analytics

Cite this

Automated Schema Quality Measurement in Large-Scale Information Systems

Publication series

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

dasRES-Data Management and Analytics

Cite this