Christian Weber

Orcid: 0000-0001-6606-5577

Affiliations:
  • Corvinno Technology Transfer Center, Budapest, Hungary
  • University of Siegen, Germany (former)


According to our database1, Christian Weber authored at least 32 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations.
CoRR, 2024

Experimental Interface for Multimodal and Large Language Model Based Explanations of Educational Recommender Systems.
CoRR, 2024

Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring.
CoRR, 2024

2023
Context based learning: a survey of contextual indicators for personalized and adaptive learning recommendations. A pedagogical and technical perspective.
CoRR, 2023

KIRETT: Knowledge-Graph-Based Smart Treatment Assistant for Intelligent Rescue Operations.
Proceedings of the Lernen, 2023

Building Contextual Knowledge Graphs for Personalized Learning Recommendations Using Text Mining and Semantic Graph Completion.
Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2023

Digit-DM: A Sustainable Data Mining Modell for Continuous Digitization in Manufacturing.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023

Smart UX-design for Rescue Operations Wearable - A Knowledge Graph Informed Visualization Approach for Information Retrieval in Emergency Situations.
Proceedings of the IEEE International Conference on Electro Information Technology, 2023

Pedagogically-Informed Implementation of Reinforcement Learning on Knowledge Graphs for Context-Aware Learning Recommendations.
Proceedings of the Responsive and Sustainable Educational Futures, 2023

2022
Transferrable Framework Based on Knowledge Graphs for Generating Explainable Results in Domain-Specific, Intelligent Information Retrieval.
Informatics, 2022

OntoJob: Automated Ontology Learning from Labor Market Data.
Proceedings of the 16th IEEE International Conference on Semantic Computing, 2022

KIRETT - A wearable device to support rescue operations using artificial intelligence to improve first aid.
Proceedings of the IEEE International Smart Cities Conference, 2022

Adding Context to Industry 4.0 Analytics: A New Document Driven Knowledge Graph Construction and Contextualization Approach.
Proceedings of the 2022 IEEE International Conference on Electro Information Technology, 2022

2021
Clustering Wafer Defect Patterns Within the Semiconductor Industry Based on Wafer Maps, Using an Agile Unsupervised Deep Learning Approach.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Explainable Job-Posting Recommendations Using Knowledge Graphs and Named Entity Recognition.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Explainable Graph-Based Search for Lessons-Learned Documents in the Semiconductor Industry.
Proceedings of the Intelligent Computing, 2021

Branch selection and data optimization for selecting machines for processes in semiconductor manufacturing using AI-based predictions.
Proceedings of the IEEE International Conference on Electro Information Technology, 2021

2020
"Creating a Concept Importance Measure for Domain Knowledge in the Context of Learning"
PhD thesis, 2020

A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned During the Microchip Design.
Proceedings of the Intelligent Systems and Applications, 2020

Yield prediction in semiconductor manufacturing using an AI-based cascading classification system.
Proceedings of the 2020 IEEE International Conference on Electro Information Technology, 2020

2019
An Efficient Alternative for Modeling Spatial Prepositions with RDF Helper Nodes Based on the Environment Perception of a Mobile Robot.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

A data-driven Smart City Transformation Model utilizing the Green Knowledge Management Cube.
Proceedings of the 2019 IEEE International Smart Cities Conference, 2019

Optimized Automotive Fault-Diagnosis based on Knowledge Extraction from Web Resources.
Proceedings of the 24th IEEE International Conference on Emerging Technologies and Factory Automation, 2019

ADISTES Ontology for Active Diagnosis of Sensors and Actuators in Distributed Embedded Systems.
Proceedings of the 2019 IEEE International Conference on Electro Information Technology, 2019

2018
Knowledge-based Production Documentation Analysis: An Integrated Text Mining Architecture.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

An Approach for Modeling Spatial Prepositions with RDF Reification and Blank Nodes Based on the Environment Perception of a Simulated Mobile Robot.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

Big data analytics in smart mobility: Modeling and analysis of the Aarhus smart city dataset.
Proceedings of the IEEE Industrial Cyber-Physical Systems, 2018

2016
Applying connectivism? Does the connectivity of concepts make a difference for learning and assessment?
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

2015
Studio: Ontology-Based Educational Self-Assessment.
Proceedings of the Workshops Proceedings of EDM 2015 8th International Conference on Educational Data Mining, 2015

2014
Extending Computerized Adaptive Testing to Multiple Objectives: Envisioned on a Case from the Health Care.
Proceedings of the Electronic Government and the Information Systems Perspective, 2014

2009
A Data Mining based Knowledge Management approach for the semiconductor industry.
Proceedings of the 2009 IEEE International Conference on Electro/Information Technology, 2009

2008
Feature Selection for Improving the Usability of Classification Results of High-Dimensional Data.
Proceedings of The 2008 International Conference on Data Mining, 2008


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