Text Mining on Job Offers Using SAP HANA Analyzing Skill and Competency Requirements for Industry 4.0

Marlene Knigge; Sonja Hecht; Loina Prifti; Helmut Krcmar

Text Mining on Job Offers Using SAP HANA Analyzing Skill and Competency Requirements for Industry 4.0

Marlene Knigge, Sonja Hecht, Loina Prifti, Helmut Krcmar

Informatics 17 - Chair of Information Systems and Business Process Management

Technical University of Munich

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

Abstract

In this project, we used text analysis and text mining means provided by SAP HANA and SAP Predictive Analytics Library (PAL) on job offers in the field of Industry 4.0. Recent technological developments, e.g., in the fields of sensors, databases, or data analytics, resulted in the fourth industrial revolution - or Industry 4.0. These lead to changes in our working environment. Thus, employees are facing changing skill and competency requirements for which they have to be qualified appropriately. To find out, which requirements are demanded in an Industry 4.0 environment, we collected job offers from German online job portals for several months. We applied text analysis and text mining methods and algorithms offered by SAP HANA and SAP PAL to them in order to extract skill and competency requirements.

Original language	English
Title of host publication	HPI Future SOC Lab - Proceedings 2017
Editors	Christoph Meinel, Andreas Polze, Karsten Beins, Rolf Strotmann, Ulrich Seibold, Kurt Rodszus, Jurgen Muller
Publisher	Universitatsverlag Potsdam
Pages	37-46
Number of pages	10
ISBN (Electronic)	9783869564753
State	Published - 2019
Event	HPI Future SOC Lab 2017 - Potsdam, Germany Duration: 15 Nov 2017 → …

Publication series

Name	Technische Berichte des Hasso-Plattner-Instituts fur Softwaresystemtechnik an der Universitat Potsdam
Volume	130
ISSN (Print)	2191-1665
ISSN (Electronic)	1613-5652

Conference

Conference	HPI Future SOC Lab 2017
Country/Territory	Germany
City	Potsdam
Period	15/11/17 → …

Cite this

Knigge, M., Hecht, S., Prifti, L., & Krcmar, H. (2019). Text Mining on Job Offers Using SAP HANA Analyzing Skill and Competency Requirements for Industry 4.0. In C. Meinel, A. Polze, K. Beins, R. Strotmann, U. Seibold, K. Rodszus, & J. Muller (Eds.), HPI Future SOC Lab - Proceedings 2017 (pp. 37-46). (Technische Berichte des Hasso-Plattner-Instituts fur Softwaresystemtechnik an der Universitat Potsdam; Vol. 130). Universitatsverlag Potsdam.

Knigge, Marlene ; Hecht, Sonja ; Prifti, Loina et al. / Text Mining on Job Offers Using SAP HANA Analyzing Skill and Competency Requirements for Industry 4.0. HPI Future SOC Lab - Proceedings 2017. editor / Christoph Meinel ; Andreas Polze ; Karsten Beins ; Rolf Strotmann ; Ulrich Seibold ; Kurt Rodszus ; Jurgen Muller. Universitatsverlag Potsdam, 2019. pp. 37-46 (Technische Berichte des Hasso-Plattner-Instituts fur Softwaresystemtechnik an der Universitat Potsdam).

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title = "Text Mining on Job Offers Using SAP HANA Analyzing Skill and Competency Requirements for Industry 4.0",

abstract = "In this project, we used text analysis and text mining means provided by SAP HANA and SAP Predictive Analytics Library (PAL) on job offers in the field of Industry 4.0. Recent technological developments, e.g., in the fields of sensors, databases, or data analytics, resulted in the fourth industrial revolution - or Industry 4.0. These lead to changes in our working environment. Thus, employees are facing changing skill and competency requirements for which they have to be qualified appropriately. To find out, which requirements are demanded in an Industry 4.0 environment, we collected job offers from German online job portals for several months. We applied text analysis and text mining methods and algorithms offered by SAP HANA and SAP PAL to them in order to extract skill and competency requirements.",

author = "Marlene Knigge and Sonja Hecht and Loina Prifti and Helmut Krcmar",

year = "2019",

language = "English",

series = "Technische Berichte des Hasso-Plattner-Instituts fur Softwaresystemtechnik an der Universitat Potsdam",

publisher = "Universitatsverlag Potsdam",

pages = "37--46",

editor = "Christoph Meinel and Andreas Polze and Karsten Beins and Rolf Strotmann and Ulrich Seibold and Kurt Rodszus and Jurgen Muller",

booktitle = "HPI Future SOC Lab - Proceedings 2017",

}

Knigge, M, Hecht, S, Prifti, L & Krcmar, H 2019, Text Mining on Job Offers Using SAP HANA Analyzing Skill and Competency Requirements for Industry 4.0. in C Meinel, A Polze, K Beins, R Strotmann, U Seibold, K Rodszus & J Muller (eds), HPI Future SOC Lab - Proceedings 2017. Technische Berichte des Hasso-Plattner-Instituts fur Softwaresystemtechnik an der Universitat Potsdam, vol. 130, Universitatsverlag Potsdam, pp. 37-46, HPI Future SOC Lab 2017, Potsdam, Germany, 15/11/17.

Text Mining on Job Offers Using SAP HANA Analyzing Skill and Competency Requirements for Industry 4.0. / Knigge, Marlene; Hecht, Sonja; Prifti, Loina et al.
HPI Future SOC Lab - Proceedings 2017. ed. / Christoph Meinel; Andreas Polze; Karsten Beins; Rolf Strotmann; Ulrich Seibold; Kurt Rodszus; Jurgen Muller. Universitatsverlag Potsdam, 2019. p. 37-46 (Technische Berichte des Hasso-Plattner-Instituts fur Softwaresystemtechnik an der Universitat Potsdam; Vol. 130).

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

TY - GEN

T1 - Text Mining on Job Offers Using SAP HANA Analyzing Skill and Competency Requirements for Industry 4.0

AU - Knigge, Marlene

AU - Hecht, Sonja

AU - Prifti, Loina

AU - Krcmar, Helmut

PY - 2019

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N2 - In this project, we used text analysis and text mining means provided by SAP HANA and SAP Predictive Analytics Library (PAL) on job offers in the field of Industry 4.0. Recent technological developments, e.g., in the fields of sensors, databases, or data analytics, resulted in the fourth industrial revolution - or Industry 4.0. These lead to changes in our working environment. Thus, employees are facing changing skill and competency requirements for which they have to be qualified appropriately. To find out, which requirements are demanded in an Industry 4.0 environment, we collected job offers from German online job portals for several months. We applied text analysis and text mining methods and algorithms offered by SAP HANA and SAP PAL to them in order to extract skill and competency requirements.

AB - In this project, we used text analysis and text mining means provided by SAP HANA and SAP Predictive Analytics Library (PAL) on job offers in the field of Industry 4.0. Recent technological developments, e.g., in the fields of sensors, databases, or data analytics, resulted in the fourth industrial revolution - or Industry 4.0. These lead to changes in our working environment. Thus, employees are facing changing skill and competency requirements for which they have to be qualified appropriately. To find out, which requirements are demanded in an Industry 4.0 environment, we collected job offers from German online job portals for several months. We applied text analysis and text mining methods and algorithms offered by SAP HANA and SAP PAL to them in order to extract skill and competency requirements.

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Knigge M, Hecht S, Prifti L, Krcmar H. Text Mining on Job Offers Using SAP HANA Analyzing Skill and Competency Requirements for Industry 4.0. In Meinel C, Polze A, Beins K, Strotmann R, Seibold U, Rodszus K, Muller J, editors, HPI Future SOC Lab - Proceedings 2017. Universitatsverlag Potsdam. 2019. p. 37-46. (Technische Berichte des Hasso-Plattner-Instituts fur Softwaresystemtechnik an der Universitat Potsdam).

Text Mining on Job Offers Using SAP HANA Analyzing Skill and Competency Requirements for Industry 4.0

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