Automated 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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this project, we extended the analysis of job offers in the field of Industry 4.0 we implemented in our former project.1 Therefore, we used text analysis and text mining means provided by SAP HANA and the SAP Predictive Analytics Library (PAL). Industry 4.0 results in significant changes in our working environment. Employees need to be qualified to fulfill these needs. To analyze the skill and competency requirements towards employees in Industry 4.0, we collected job offers from two German online portals on a monthly base and applied text mining and text analysis to them. In this project, we improved our previously built application. We started the automation of the extraction of job offers from the internet and added a method for clustering the requirements in order to discover competency profiles emerging in the context of Industry 4.0.

Original languageEnglish
Title of host publicationHPI Future SOC Lab - Proceedings 2018
PublisherUniversitatsverlag Potsdam
Pages111-121
Number of pages11
ISBN (Electronic)9783869565477
StatePublished - 2018
Event17th HPI Future SOC Lab 2018 - Potsdam, Germany
Duration: 14 Nov 201817 Nov 2018

Publication series

NameTechnische Berichte des Hasso-Plattner-Instituts fur Softwaresystemtechnik an der Universitat Potsdam
Volume151
ISSN (Print)2191-1665
ISSN (Electronic)1613-5652

Conference

Conference17th HPI Future SOC Lab 2018
Country/TerritoryGermany
CityPotsdam
Period14/11/1817/11/18

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