15 Toward a skill-centered qualification ontology supporting data mining of human resources in knowledge-based enterprise process representations
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Adrian Vogler
Abstract
In the evolving context of Industry 4.0 and the Fourth Industrial Revolution, representing and managing process-based big data sources, e.g., optimizing human resource (HR) assignment in production planning is critical. This research introduces a HR ontology (FPHR ontology) integrated into knowledge-based production planning (KPP) methods and automating the utilization of employee skills in planning, amidst vast industrial big data landscapes. Utilizing semantic techniques and the ESCO ontology, the FPHR ontology enhances KPP, enabling a sophisticated consideration of competences and skills. The ontology supports broad knowledge and skill domains, addressing digitalization challenges and aiding the upskilling and re-skilling paradigm, highlighting the significance of semantic representation and user-centric information system design for future intelligent production planning and the corresponding HR management.
Abstract
In the evolving context of Industry 4.0 and the Fourth Industrial Revolution, representing and managing process-based big data sources, e.g., optimizing human resource (HR) assignment in production planning is critical. This research introduces a HR ontology (FPHR ontology) integrated into knowledge-based production planning (KPP) methods and automating the utilization of employee skills in planning, amidst vast industrial big data landscapes. Utilizing semantic techniques and the ESCO ontology, the FPHR ontology enhances KPP, enabling a sophisticated consideration of competences and skills. The ontology supports broad knowledge and skill domains, addressing digitalization challenges and aiding the upskilling and re-skilling paradigm, highlighting the significance of semantic representation and user-centric information system design for future intelligent production planning and the corresponding HR management.
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
-
Methods and instrumentation
- 1 Identifying and estimating outliers in time series with nonstationary mean through multiobjective optimization method 1
- 2 Using the intentionally linked entities (ILE) database system to create hypergraph databases with fast and reliable relationship linking, with example applications 21
- 3 Rapid and automated determination of cluster numbers for high-dimensional big data: a comprehensive update 37
- 4 Canonical correlation analysis and exploratory factor analysis of the four major centrality metrics 49
- 5 Navigating the landscape of automated data preprocessing: an in-depth review of automated machine learning platforms 71
- 6 Generating random XML 83
-
Applications and case studies
- 7 Exploring autism risk: a deep dive into graph neural networks and gene interaction data 105
- 8 Leveraging ChatGPT and table arrangement techniques in advanced newspaper content analysis for stock insights 121
- 9 An experimental study on road surface classification 145
- 10 RNN models for evaluating financial indices: examining volatility and demand-supply shifts in financial markets during COVID-19 165
- 11 Topological methods for vibration feature extraction 185
- 12 Dyna-SPECTS: DYNAmic enSemble of Price Elasticity Computation models using Thompson Sampling in e-commerce 215
- 13 Creating a metadata schema for reservoirs of data: a systems engineering approach 251
- 14 Implementation and evaluation of an eXplainable artificial intelligence to explain the evaluation of an assessment analytics algorithm for freetext exams in psychology courses in higher education to attest QBLM-based competencies 271
- 15 Toward a skill-centered qualification ontology supporting data mining of human resources in knowledge-based enterprise process representations 307
- Index 333
Chapters in this book
- Frontmatter I
- Preface V
- Contents VII
-
Methods and instrumentation
- 1 Identifying and estimating outliers in time series with nonstationary mean through multiobjective optimization method 1
- 2 Using the intentionally linked entities (ILE) database system to create hypergraph databases with fast and reliable relationship linking, with example applications 21
- 3 Rapid and automated determination of cluster numbers for high-dimensional big data: a comprehensive update 37
- 4 Canonical correlation analysis and exploratory factor analysis of the four major centrality metrics 49
- 5 Navigating the landscape of automated data preprocessing: an in-depth review of automated machine learning platforms 71
- 6 Generating random XML 83
-
Applications and case studies
- 7 Exploring autism risk: a deep dive into graph neural networks and gene interaction data 105
- 8 Leveraging ChatGPT and table arrangement techniques in advanced newspaper content analysis for stock insights 121
- 9 An experimental study on road surface classification 145
- 10 RNN models for evaluating financial indices: examining volatility and demand-supply shifts in financial markets during COVID-19 165
- 11 Topological methods for vibration feature extraction 185
- 12 Dyna-SPECTS: DYNAmic enSemble of Price Elasticity Computation models using Thompson Sampling in e-commerce 215
- 13 Creating a metadata schema for reservoirs of data: a systems engineering approach 251
- 14 Implementation and evaluation of an eXplainable artificial intelligence to explain the evaluation of an assessment analytics algorithm for freetext exams in psychology courses in higher education to attest QBLM-based competencies 271
- 15 Toward a skill-centered qualification ontology supporting data mining of human resources in knowledge-based enterprise process representations 307
- Index 333
