Data Catalogs: A Systematic Literature Review and Guidelines to Implementation

Lisa Ehrlinger; Johannes Schrott; Martin Melichar; Nicolas Kirchmayr; Wolfram Wöß

doi:10.1007/978-3-030-87101-7_15

Data Catalogs: A Systematic Literature Review and Guidelines to Implementation

Lisa Ehrlinger
, Johannes Schrott
, Martin Melichar
, Nicolas Kirchmayr
, Wolfram Wöß

Institut für Anwendungsorientierte Wissensverarbeitung

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

In enterprises, data is usually distributed across multiple data sources and stored in heterogeneous formats. The harmonization and integration of data is a prerequisite to leverage it for AI initiatives. Recently, data catalogs pose a promising solution to semantically classify and organize data sources across different environments and to enrich raw data with metadata. Data catalogs therefore allow to create a single, clear, and easy-accessible interface for training and testing computational models. Despite a lively discussion among practitioners, there is little research on data catalogs. In this paper, we systematically review existing literature and answer the following questions: (1) What are the conceptual components of a data catalog? and (2) Which guidelines can be recommended to implement a data catalog? The results benefit practitioners in implementing a data catalog to accelerate any AI initiative and researchers with a compilation of future research directions.

Originalsprache	Englisch
Titel	Database and Expert Systems Applications - DEXA 2021 Workshops
Herausgeber*innen	Gabriele Kotsis, A Min Tjoa, Ismail Khalil, Bernhard Moser, Atif Mashkoor, Johannes Sametinger, Anna Fensel, Jorge Martinez-Gil, Lukas Fischer, Gerald Czech, Florian Sobieczky, Sohail Khan
Erscheinungsort	Cham
Verlag	Springer International Publishing
Seiten	148-158
Seitenumfang	11
Band	1479
ISBN (elektronisch)	978-3-030-87101-7
ISBN (Print)	9783030871000
DOIs	https://doi.org/10.1007/978-3-030-87101-7_15
Publikationsstatus	Veröffentlicht - Sep. 2021

Publikationsreihe

Name	Communications in Computer and Information Science
Band	1479 CCIS
ISSN (Print)	1865-0929
ISSN (elektronisch)	1865-0937

Wissenschaftszweige

102001 Artificial Intelligence
102010 Datenbanksysteme
102014 Informationsdesign
102015 Informationssysteme
102019 Machine Learning
102025 Verteilte Systeme
102028 Knowledge Engineering
102033 Data Mining
102035 Data Science
502007 E-Commerce
506002 E-Government
509018 Wissensmanagement

JKU-Schwerpunkte

Digital Transformation

Zugriff auf Dokument

10.1007/978-3-030-87101-7_15

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

SEBISTA
Ehrlinger, L. (Forscher*in), Gindlhumer, A. (Forscher*in), Huber, L.-M. (Forscher*in) & Wöß, W. (Projektleiter*in)
01.01.2019 → 31.12.2022
Projekt: Geförderte Forschung › Andere Geldgeber

Dieses zitieren

Ehrlinger, L., Schrott, J., Melichar, M., Kirchmayr, N., & Wöß, W. (2021). Data Catalogs: A Systematic Literature Review and Guidelines to Implementation. in G. Kotsis, A. M. Tjoa, I. Khalil, B. Moser, A. Mashkoor, J. Sametinger, A. Fensel, J. Martinez-Gil, L. Fischer, G. Czech, F. Sobieczky, & S. Khan (Hrsg.), Database and Expert Systems Applications - DEXA 2021 Workshops (Band 1479, S. 148-158). (Communications in Computer and Information Science; Band 1479 CCIS). Springer International Publishing. https://doi.org/10.1007/978-3-030-87101-7_15

Ehrlinger, Lisa ; Schrott, Johannes ; Melichar, Martin et al. / Data Catalogs: A Systematic Literature Review and Guidelines to Implementation. Database and Expert Systems Applications - DEXA 2021 Workshops. Hrsg. / Gabriele Kotsis ; A Min Tjoa ; Ismail Khalil ; Bernhard Moser ; Atif Mashkoor ; Johannes Sametinger ; Anna Fensel ; Jorge Martinez-Gil ; Lukas Fischer ; Gerald Czech ; Florian Sobieczky ; Sohail Khan. Band 1479 Cham : Springer International Publishing, 2021. S. 148-158 (Communications in Computer and Information Science).

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abstract = "In enterprises, data is usually distributed across multiple data sources and stored in heterogeneous formats. The harmonization and integration of data is a prerequisite to leverage it for AI initiatives. Recently, data catalogs pose a promising solution to semantically classify and organize data sources across different environments and to enrich raw data with metadata. Data catalogs therefore allow to create a single, clear, and easy-accessible interface for training and testing computational models. Despite a lively discussion among practitioners, there is little research on data catalogs. In this paper, we systematically review existing literature and answer the following questions: (1) What are the conceptual components of a data catalog? and (2) Which guidelines can be recommended to implement a data catalog? The results benefit practitioners in implementing a data catalog to accelerate any AI initiative and researchers with a compilation of future research directions.",

author = "Lisa Ehrlinger and Johannes Schrott and Martin Melichar and Nicolas Kirchmayr and Wolfram W{\"o}{\ss}",

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Ehrlinger, L, Schrott, J, Melichar, M, Kirchmayr, N & Wöß, W 2021, Data Catalogs: A Systematic Literature Review and Guidelines to Implementation. in G Kotsis, AM Tjoa, I Khalil, B Moser, A Mashkoor, J Sametinger, A Fensel, J Martinez-Gil, L Fischer, G Czech, F Sobieczky & S Khan (Hrsg.), Database and Expert Systems Applications - DEXA 2021 Workshops. Bd. 1479, Communications in Computer and Information Science, Bd. 1479 CCIS, Springer International Publishing, Cham, S. 148-158. https://doi.org/10.1007/978-3-030-87101-7_15

Data Catalogs: A Systematic Literature Review and Guidelines to Implementation. / Ehrlinger, Lisa; Schrott, Johannes; Melichar, Martin et al.
Database and Expert Systems Applications - DEXA 2021 Workshops. Hrsg. / Gabriele Kotsis; A Min Tjoa; Ismail Khalil; Bernhard Moser; Atif Mashkoor; Johannes Sametinger; Anna Fensel; Jorge Martinez-Gil; Lukas Fischer; Gerald Czech; Florian Sobieczky; Sohail Khan. Band 1479 Cham: Springer International Publishing, 2021. S. 148-158 (Communications in Computer and Information Science; Band 1479 CCIS).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Data Catalogs: A Systematic Literature Review and Guidelines to Implementation

AU - Ehrlinger, Lisa

AU - Schrott, Johannes

AU - Melichar, Martin

AU - Kirchmayr, Nicolas

AU - Wöß, Wolfram

PY - 2021/9

Y1 - 2021/9

N2 - In enterprises, data is usually distributed across multiple data sources and stored in heterogeneous formats. The harmonization and integration of data is a prerequisite to leverage it for AI initiatives. Recently, data catalogs pose a promising solution to semantically classify and organize data sources across different environments and to enrich raw data with metadata. Data catalogs therefore allow to create a single, clear, and easy-accessible interface for training and testing computational models. Despite a lively discussion among practitioners, there is little research on data catalogs. In this paper, we systematically review existing literature and answer the following questions: (1) What are the conceptual components of a data catalog? and (2) Which guidelines can be recommended to implement a data catalog? The results benefit practitioners in implementing a data catalog to accelerate any AI initiative and researchers with a compilation of future research directions.

AB - In enterprises, data is usually distributed across multiple data sources and stored in heterogeneous formats. The harmonization and integration of data is a prerequisite to leverage it for AI initiatives. Recently, data catalogs pose a promising solution to semantically classify and organize data sources across different environments and to enrich raw data with metadata. Data catalogs therefore allow to create a single, clear, and easy-accessible interface for training and testing computational models. Despite a lively discussion among practitioners, there is little research on data catalogs. In this paper, we systematically review existing literature and answer the following questions: (1) What are the conceptual components of a data catalog? and (2) Which guidelines can be recommended to implement a data catalog? The results benefit practitioners in implementing a data catalog to accelerate any AI initiative and researchers with a compilation of future research directions.

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U2 - 10.1007/978-3-030-87101-7_15

DO - 10.1007/978-3-030-87101-7_15

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SN - 9783030871000

VL - 1479

T3 - Communications in Computer and Information Science

SP - 148

EP - 158

BT - Database and Expert Systems Applications - DEXA 2021 Workshops

A2 - Kotsis, Gabriele

A2 - Tjoa, A Min

A2 - Khalil, Ismail

A2 - Moser, Bernhard

A2 - Mashkoor, Atif

A2 - Sametinger, Johannes

A2 - Fensel, Anna

A2 - Martinez-Gil, Jorge

A2 - Fischer, Lukas

A2 - Czech, Gerald

A2 - Sobieczky, Florian

A2 - Khan, Sohail

PB - Springer International Publishing

CY - Cham

ER -

Ehrlinger L, Schrott J, Melichar M, Kirchmayr N, Wöß W. Data Catalogs: A Systematic Literature Review and Guidelines to Implementation. in Kotsis G, Tjoa AM, Khalil I, Moser B, Mashkoor A, Sametinger J, Fensel A, Martinez-Gil J, Fischer L, Czech G, Sobieczky F, Khan S, Hrsg., Database and Expert Systems Applications - DEXA 2021 Workshops. Band 1479. Cham: Springer International Publishing. 2021. S. 148-158. (Communications in Computer and Information Science). doi: 10.1007/978-3-030-87101-7_15

Data Catalogs: A Systematic Literature Review and Guidelines to Implementation

Abstract

Publikationsreihe

Wissenschaftszweige

JKU-Schwerpunkte

Zugriff auf Dokument

Andere Dateien und Links

Projekte

SEBISTA

Dieses zitieren