Christian Weber | Publikationen | Fachgruppe Wissensbasierte Systeme

H. Abu-Rasheed, C. Weber, M. Fathi
Experimental Interface for Multimodal and Large Language Model Based Explanations of Educational Recommender Systems
14th International Learning Analytics and Knowledge conference (LAK24), 2024, Kyoto, Japan
[Link]

[BibTex]

@misc{aburasheed2024experimental,
      title={Experimental Interface for Multimodal and Large Language Model Based Explanations of Educational Recommender Systems}, 
      author={Hasan Abu-Rasheed and Christian Weber and Madjid Fathi},
      year={2024},
      eprint={2402.07910},
      archivePrefix={arXiv},
      primaryClass={cs.HC}
}

H. Abu-Rasheed, R. Ikeda, A. Ferriyan, C. Weber, M. Fathi, K. Okawa, A. H. Thamrin
Problem-Based Learning-Path Recommendations Through Integrating Knowledge Graphs and Large Language Models
14th International Learning Analytics and Knowledge conference (LAK24), 2024, Kyoto, Japan
[Link]

[BibTex]

H. Abu-Rasheed, M. H. Abdulsalam, C. Weber, M. Fathi
Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring
Joint proceedings of the 14th International Learning Analytics and Knowledge conference (LAK24) workshops, 2024, Kyoto, Japan
[Link]

[BibTex]

@misc{aburasheed2024supporting,
      title={Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring}, 
      author={Hasan Abu-Rasheed and Mohamad Hussam Abdulsalam and Christian Weber and Madjid Fathi},
      year={2024},
      eprint={2401.08517},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}

H. Abu-Rasheed, C. Weber, M. Fathi
Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations
2024 IEEE Global Engineering Education Conference, 2024, Kos, Greece
[Link]

[BibTex]

M. Nadeem, J. Zenkert, L. Bender, C. Weber, M. Fathi
KIRETT: Knowledge-Graph-Based Smart Treatment Assistant for Intelligent Rescue Operations
LWDA 2023, CEUR-Workshop-Proceedings, Marburg, Germany
[Link]

[BibTex]

@article{nadeem2023kirett,
  title={KIRETT: Knowledge-Graph-Based Smart Treatment Assistant for Intelligent Rescue Operations},
  author={Nadeem, Mubaris and Zenkert, Johannes and Bender, Lisa and Weber, Christian and Fathi, Madjid},
  booktitle={LWDA 2023, CEUR-Workshop-Proceedings, Marburg, Germany},
  year={2023}
}

H. Abu-Rasheed, C. Weber, M. Dornhöfer, M. Fathi
Pedagogically-Informed Implementation of Reinforcement Learning on Knowledge Graphs for Context-Aware Learning Recommendations
In: Viberg, O., Jivet, I., Muñoz-Merino, P., Perifanou, M., Papathoma, T. (eds) Responsive and Sustainable Educational Futures. EC-TEL 2023. Lecture Notes in Computer Science, vol 14200. Springer, Cham.
[Link]

[BibTex]

@InProceedings{10.1007/978-3-031-42682-7_35,
author="Abu-Rasheed, Hasan
and Weber, Christian
and Dornh{\"o}fer, Mareike
and Fathi, Madjid",
editor="Viberg, Olga
and Jivet, Ioana
and Mu{\~{n}}oz-Merino, Pedro J.
and Perifanou, Maria
and Papathoma, Tina",
title="Pedagogically-Informed Implementation of Reinforcement Learning on Knowledge Graphs for Context-Aware Learning Recommendations",
booktitle="Responsive and Sustainable Educational Futures",
year="2023",
publisher="Springer Nature Switzerland",
address="Cham",
pages="518--523",
abstract="Context-aware recommender systems are important tools to address the learning context in technology enhanced learning. However, the contextual factors of learning, as well as the mechanisms of integrating them into the recommendation, are mostly defined from a technical perspective, rather than a pedagogical one. In this paper, we introduce a new approach for generating pedagogically informed, context-aware, learning recommendations. We build on the context definition in situated and subject-oriented learning theories. Then, we utilize a knowledge graph structure to build the environment for a path exploration and ranking algorithm, which is influenced by agent exploration in reinforcement learning (RL), for creating sequential learning-path recommendations. Our design of the agent's reward function integrates learning-context factors in the recommender system. We evaluate the proposed solution qualitatively with domain experts, and quantitatively using semantic-similarity measures to compare our recommended paths to expert-curated learning content. Our evaluation shows an enriched recommendation based on the learners' context, as well as a better discovery of relevant educational content. ",
isbn="978-3-031-42682-7"
}

H. Abu-Rasheed, M. Dornhöfer, C. Weber, G. Kismihók, U. Buchmann, M. Fathi
Building Contextual Knowledge Graphs for Personalized Learning Recommendations Using Text Mining and Semantic Graph Completion
2023 IEEE International Conference on Advanced Learning Technologies (ICALT), 2023, pp. 36-40
[Link]

[BibTex]

@INPROCEEDINGS {10260850,
author = {H. Abu-Rasheed and M. Dornhofer and C. Weber and G. Kismihok and U. Buchmann and M. Fathi},
booktitle = {2023 IEEE International Conference on Advanced Learning Technologies (ICALT)},
title = {Building Contextual Knowledge Graphs for Personalized Learning Recommendations Using Text Mining and Semantic Graph Completion},
year = {2023},
volume = {},
issn = {},
pages = {36-40},
abstract = {Modelling learning objects (LO) within their context enables the learner to advance from a basic, remembering-level, learning objective to a higher-order one, i.e., a level with an application- and analysis objective. While hierarchical data models are commonly used in digital learning platforms, using graph-based models enables representing the context of LOs in those platforms. This leads to a foundation for personalized recommendations of learning paths. In this paper, the transformation of hierarchical data models into knowledge graph (KG) models of LOs using text mining is introduced and evaluated. We utilize custom text mining pipelines to mine semantic relations between elements of an expert-curated hierarchical model. We evaluate the KG structure and relation extraction using graph quality-control metrics and the comparison of algorithmic semantic-similarities to expert-defined ones. The results show that the relations in the KG are semantically comparable to those defined by domain experts, and that the proposed KG improves representing and linking the contexts of LOs through increasing graph communities and betweenness centrality.},
keywords = {text mining;measurement;learning systems;semantics;pipelines;knowledge graphs;metadata},
doi = {10.1109/ICALT58122.2023.00016},
url = {https://doi.ieeecomputersociety.org/10.1109/ICALT58122.2023.00016},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
month = {jul}
}

H. Abu-Rasheed, C. Weber, M. Fathi
Context based learning: a survey of contextual indicators for personalized and adaptive learning recommendations – a pedagogical and technical perspective
Frontiers in Education, Volume 8, 2023
[Link]

[BibTex]

@ARTICLE{10.3389/feduc.2023.1210968,

AUTHOR={Abu-Rasheed, Hasan and Weber, Christian and Fathi, Madjid},

TITLE={Context based learning: a survey of contextual indicators for personalized and adaptive learning recommendations – a pedagogical and technical perspective},

JOURNAL={Frontiers in Education},

VOLUME={8},

YEAR={2023},

URL={https://www.frontiersin.org/articles/10.3389/feduc.2023.1210968},

DOI={10.3389/feduc.2023.1210968},

ISSN={2504-284X},

ABSTRACT={Learning personalization has proven its effectiveness in enhancing learner performance. Therefore, modern digital learning platforms have been increasingly depending on recommendation systems to offer learners personalized suggestions of learning materials. Learners can utilize those recommendations to acquire certain skills for the labor market or for their formal education. Personalization can be based on several factors, such as personal preference, social connections or learning context. In an educational environment, the learning context plays an important role in generating sound recommendations, which not only fulfill the preferences of the learner, but also correspond to the pedagogical goals of the learning process. This is because a learning context describes the actual situation of the learner at the moment of requesting a learning recommendation. It provides information about the learner’s current state of knowledge, goal orientation, motivation, needs, available time, and other factors that reflect their status and may influence how learning recommendations are perceived and utilized. Context-aware recommender systems have the potential to reflect the logic that a learning expert may follow in recommending materials to students with respect to their status and needs. During the last decade, several approaches have emerged in the literature to define the learning context and the factors that may capture it. Those approaches led to different definitions of contextualized learner-profiles. In this paper, we review the state-of-the-art approaches for defining a user’s learning-context. We provide an overview of the definitions available, as well as the different factors that are considered when defining a context. Moreover, we further investigate the links between those factors and their pedagogical foundations in learning theories. We aim to provide a comprehensive understanding of contextualized learning from both pedagogical and technical points of view. By combining those two viewpoints, we aim to bridge a gap between both domains, in terms of contextualizing learning recommendations.}
}

M. Nadeem, J. Zenkert, C. Weber, M. Fathi, M. Hamza
Smart UX-design for Rescue Operations Wearable - A Knowledge Graph Informed Visualization Approach for Information Retrieval in Emergency Situations
2023 IEEE International Conference on Electro Information Technology (eIT), 2023, pp. 180-185
[Link]

[BibTex]

@INPROCEEDINGS{10187320,
  author={Nadeem, Mubaris and Zenkert, Johannes and Weber, Christian and Fathi, Madjid and Hamza, Muhammad},
  booktitle={2023 IEEE International Conference on Electro Information Technology (eIT)},
  title={Smart UX-design for Rescue Operations Wearable - A Knowledge Graph Informed Visualization Approach for Information Retrieval in Emergency Situations}, 
  year={2023},
  volume={},
  number={},
  pages={180-185},
  doi={10.1109/eIT57321.2023.10187320}}

C. Weber, P. Czerner, M. Fathi
Digit-DM: A Sustainable Data Mining Modell for Continuous Digitization in Manufacturing
2023 IEEE International Conference on Electro Information Technology (eIT), 2023, pp. 197-202
[Link]

[BibTex]

@INPROCEEDINGS{10187390,
  author={Weber, Christian and Czerner, Peter and Fathi, Madjid},
  booktitle={2023 IEEE International Conference on Electro Information Technology (eIT)}, 
  title={Digit-DM: A Sustainable Data Mining Modell for Continuous Digitization in Manufacturing}, 
  year={2023},
  volume={},
  number={},
  pages={197-202},
  doi={10.1109/eIT57321.2023.10187390}}

J. Zenkert, C. Weber, M. Nadeem, L. Bender, M. Fathi, A. S. Ahammed, A. M. Ezekiel, R. Obermaisser, M. Bradford
KIRETT - A wearable device to support rescue operations using artificial intelligence to improve first aid
2022 IEEE International Smart Cities Conference (ISC2), 2022, pp. 1-4
[Link]

[BibTex]

@INPROCEEDINGS{9922361,  
author={Zenkert, Johannes and Weber, Christian and Nadeem, Mubaris and Bender, Lisa and Fathi, Madjid and Ahammed, Abu Shad and Ezekiel, Aniebiet Micheal and Obermaisser, Roman and Bradford, Maximilian},  
booktitle={2022 IEEE International Smart Cities Conference (ISC2)},   
title={KIRETT - A wearable device to support rescue operations using artificial intelligence to improve first aid},   
year={2022},  
volume={},  
number={},  
pages={1-4},  
doi={10.1109/ISC255366.2022.9922361}}

C. Weber, H. Abu-Rasheed, M. Fathi
Adding Context to Industry 4.0 Analytics: A New Document Driven Knowledge Graph Construction and Contextualization Approach
2022 IEEE International Conference on Electro Information Technology (eIT), 19-21 May 2022, pp. 550-555
[Link]

[BibTex]

@INPROCEEDINGS{9813992,
  author={Weber, Christian and Abu-Rasheed, Hasan and Fathi, Madjid},
  booktitle={2022 IEEE International Conference on Electro Information Technology (eIT)}, 
  title={Adding Context to Industry 4.0 Analytics: A New Document Driven Knowledge Graph Construction and Contextualization Approach}, 
  year={2022},
  volume={},
  number={},
  pages={550-555},
  doi={10.1109/eIT53891.2022.9813992}}

I. Reichow, K. Buntins, B. Paaßen, H. Abu-Rasheed, C. Weber, M. Dornhöfer
Recommendersysteme in der beruflichen Weiterbildung. Grundlagen, Herausforderungen und Handlungsempfehlungen. Ein Dossier im Rahmen des INVITE-Wettbewerbs.
Berlin 2022, 26 S.
[Link]

[BibTex]

@misc{reichow2022recommendersysteme,
  title={Recommendersysteme in der beruflichen Weiterbildung. Grundlagen, Herausforderungen und Handlungsempfehlungen. Ein Dossier im Rahmen des INVITE-Wettbewerbs},
  author={Reichow, Insa and Buntins, Katja and Paa{\ss}en, Benjamin and Abu-Rasheed, Hasan and Weber, Christian and Dornh{\"o}fer, Mareike},
  year={2022},
  publisher={Berlin:}
}

H. Abu-Rasheed, C. Weber, J. Zenkert, M. Dornhöfer, M. Fathi
Transferrable Framework Based on Knowledge Graphs for Generating Explainable Results in Domain-Specific, Intelligent Information Retrieval
Informatics 2022, 9(1), 6, MDPI
[Link]

[BibTex]

@Article{informatics9010006,
AUTHOR = {Abu-Rasheed, Hasan and Weber, Christian and Zenkert, Johannes and Dornhöfer, Mareike and Fathi, Madjid},
TITLE = {Transferrable Framework Based on Knowledge Graphs for Generating Explainable Results in Domain-Specific, Intelligent Information Retrieval},
JOURNAL = {Informatics},
VOLUME = {9},
YEAR = {2022},
NUMBER = {1},
ARTICLE-NUMBER = {6},
URL = {https://www.mdpi.com/2227-9709/9/1/6},
ISSN = {2227-9709},
DOI = {10.3390/informatics9010006}
}

P. Stich, R. Busch, M. Wahl, C. Weber, and M. Fathi
Branch selection and data optimization for selecting machines for processes in semiconductor manufacturing using AI-based predictions
2021 IEEE International Conference on Electro Information Technology (EIT), May 2021, pp. 1–6.
[Link]

[BibTex]

@INPROCEEDINGS{9491836,
author={Stich, Peter and Busch, Rebecca and Wahl, Michael and Weber, Christian and Fathi, Madjid},
booktitle={2021 IEEE International Conference on Electro Information Technology (EIT)}, 
title={Branch selection and data optimization for selecting machines for processes in semiconductor manufacturing using AI-based predictions}, 
year={2021},
volume={},
number={},
pages={1-6},
doi={10.1109/EIT51626.2021.9491836}}

C. Weber, A. Tripuramallu, P. Czerner, M. Fathi
Clustering Wafer Defect Patterns Within the Semiconductor Industry Based on Wafer Maps, Using an Agile Unsupervised Deep Learning Approach
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Page(s): 1913-1918
[Link]

C. Upadhyay, H. Abu-Rasheed, C. Weber, M. Fathi
Explainable Job-Posting Recommendations Using Knowledge Graphs and Named Entity Recognition
2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Page(s): 3291-3296
[Link]

C. Upadhyay, H. Abu-Rasheed, C. Weber, M. Fathi
Explainable Job-Posting Recommendations Using Knowledge Graphs and Named Entity Recognition
In the IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021, Melbourne, Australia, pp. 3291-3296, doi: 10.1109/SMC52423.2021.9658757.
[Link]

J. Zenkert, C. Weber, M. Dornhöfer, H. Abu-Rasheed, M. Fathi
Knowledge Integration in Smart Factories
Encyclopedia, 1(3), 792-811, 2021
[Link]

[BibTex]

@article{zenkert2021knowledge,
title={Knowledge Integration in Smart Factories},
author={Zenkert, Johannes and Weber, Christian and Dornh{\"o}fer, Mareike and Abu-Rasheed, Hasan and Fathi, Madjid},
journal={Encyclopedia},
volume={1},
number={3},
pages={792--811},
year={2021},
publisher={Multidisciplinary Digital Publishing Institute}
}

P. Stich, M. Wahl, P. Czerner, C. Weber, M. Fathi
Yield prediction in semiconductor manufacturing using an AI-based cascading classification system
2020 IEEE International Conference on Electro Information Technology (EIT), 2020, pp. 609-614
[Link]

H. Abu-Rasheed, C. Weber, J. Zenkert, R. Krumm, M. Fathi
Explainable Graph-based Search for Lessons-Learned Documents in the Semiconductor Industry
In Computing Conference 2021, 15-16 July 2021 | London, UK
[Link]

H. Abu-Rasheed, C. Weber, J. Zenkert, P. Czerne, R. Krumm, M. Fathi
A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned during the Microchip Design
In Intelligent Systems Conference (IntelliSys 2020), Amsterdam, The Netherlands. 3-4 September 2020.
[Link]

H. Abu-Rasheed, C. Weber, J. Zenkert, P. Czerne, R. Krumm, M. Fathi
Enhancing Design-relevant Document Search and Visibility through Fusion of Multi-sourced Data in Knowledge Graphs
In 20th European Advanced Process Control and Manufacturing (APC|M) Conference, Toulon, France, March 30 – April 1, 2020 (submitted, conference shifted to 2021).

I. Ishaq, R. Jayousi, S. Odeh, E. Edwan, A. Shaheen, M. Elnaggar, A. Elagha, S. Salamah, C. Weber, H. Abu-Rasheed, R. Kirner, M. Doolan, H. Ahmadian, R. Obermaisser, D. el Diehn, A. Khalifeh, S. Alouneh, Z. Alhalhouli, K. Alemerien, F. Gargouri, B. Bouaziz, N. A., M. Saleh
Work in Progress – Establishing a Master Program in Cyber Physical Systems: Basic Findings and Future Perspectives
In 2019 International Conference on Promising Electronic Technologies (ICPET), Gaza City, Palestine, pp. 4-9, 2019.
[Link]

H. Abu-Rasheed, J. Zenkert, C. Weber, M. Fathi
Conversational Chatbot System for Student Support in Administrative Exam Information
In 12th annual International Conference of Education, Research and Innovation (iCERi2019), Seville (Spain). 11th - 13th of November, 2019.
[Link]

M. Dornhöfer, C. Weber, J. Zenkert, M. Fathi
A data-driven Smart City Transformation Model utilizing the Green Knowledge Management Cube
In 5th IEEE International Smart Cities Conference (ISC2), Morocco, October 14-17 2019
[Link] [Scholar]

[BibTex]

@inproceedings{dornhofer2019data,
title={A data-driven Smart City Transformation Model utilizing the Green Knowledge Management Cube},
author={Dornh{\"o}fer, Mareike and Weber, Christian and Zenkert, Johannes and Fathi, Madjid},
booktitle={2019 IEEE International Smart Cities Conference (ISC2)},
pages={691--696},
year={2019},
organization={IEEE}
}

S. Meckel, J. Zenkert, C. Weber, R. Obermaisser, M. Fathi and R. Sadat
Optimized Automotive Fault-Diagnosis based on Knowledge Extraction from Web Resources
In 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), September 2019, Accepted Version
[Link] [Scholar]

[BibTex]

@inproceedings{meckel2019optimized,
title={Optimized Automotive Fault-Diagnosis based on Knowledge Extraction from Web Resources},
author={Meckel, Simon and Zenkert, Johannes and Weber, Christian and Obermaisser, Roman and Fathi, Madjid and Sadat, Rubaiyat},
booktitle={2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)},
pages={1261--1264},
year={2019},
organization={IEEE}
}

P. Czerner, C. Weber
Dimension Reduction using Feature Selection for Root Cause Analysis
In: 19th European Advanced Process Control and Manufacturing Conference (APCM), 2019

C. Weber, A. Grünewald, K. Hahn, P. Czerner, M. Fathi, R. Brück
A Novel Wafer Yield Deviation Root Cause Investigation Utilizing a Least-squares Spectral Analysis
In: 19th European Advanced Process Control and Manufacturing Conference (APCM), 2019

R. Brück, K. Hahn, C. Weber, M. Fathi
Agile App-Entwicklung für Patient Empowerment mit Telemedizin
In: Digitale Transformation im Krankenhaus, 242-251, 2019

N.T.M. Saeed, C. Weber, A. Mallak, M. Fathi, R. Obermaisser, K.D. Kuhnert
ADISTES Ontology for Active Diagnosis of Sensors and Actuators in Distributed Embedded Systems
In: 2019 IEEE International Conference on Electro Information Technology (EIT), 2019
[Link]

H. Abu-Rasheed, J. Zenkert, C. Weber, M. Dornhöfer, A. Klahold, M. Fathi
Integration of Augmented Reality in Language Learning through the Concept of Imitating Mental Ability of Word Association (CIMAWA)
In proceedings of the 3rd Annual Learning and Student Analytics Conference, Loria, France, 2019.

C. Weber, M. Fathi, A. Grünewald, K. Hahn, R. Brück,R. Montino, R. Krumm
A Wafer Yield Fluctuation Analysis Model Utilizing Least-Squares Spectral Analysis
In 2019 International Symposium on Signals, Circuits and Systems (ISSCS) (pp. 1-6), Romania, July, 2019.
[Link] [Scholar]

[BibTex]

@inproceedings{weber2019wafer,
title={A Wafer Yield Fluctuation Analysis Model Utilizing Least-Squares Spectral Analysis},
author={Weber, Christian and Fathi, Madjid and Gr{\"u}newald, Armin and Hahn, Kai and Br{\"u}ck, Rainer and Montino, Ralf and Krumm, Roland},
booktitle={2019 International Symposium on Signals, Circuits and Systems (ISSCS)},
pages={1--6},
year={2019},
organization={IEEE}
}

H. Abu-Rasheed, J. Zenkert, C. Weber, M. Dornhöfer, A. Klahold, M. Fathi
Language Learning Tool Based On Augmented Reality And The Concept For Imitating Mental Ability Of Word Association (CIMAWA)
Edulearn, Spain, July, 2019.
[Link]

N. T. M. Saeed, C. Weber, M. Fathi, K. D. Kuhnert
An Efficient Alternative for Modeling Spatial Prepositions with RDF Helper Nodes Based on the Environment Perception of a Mobile Robot
In 2019 IEEE 28th International Symposium on Industrial Electronics (ISIE) (pp. 1138-1143), Canada, June, 2019.
[Link]

R. Vas, C. Weber, D. Gkoumas
Implementing connectivism by semantic technologies for self-directed learning
In: International Journal of Manpower 39 (8), 1032-1046, 2018
[Link] [Scholar]

[BibTex]

@article{vas2018implementing,
title={Implementing connectivism by semantic technologies for self-directed learning},
author={Vas, R{\'e}ka and Weber, Christian and Gkoumas, Dimitris},
journal={International Journal of Manpower},
year={2018},
publisher={Emerald Publishing Limited}
}

A. Mallak, A. Behravan, C. Weber, M. Fathi, R. Obermaisser
A graph-based sensor fault detection and diagnosis for demand-controlled ventilation systems extracted from a semantic ontology
In 2018 IEEE 22nd International Conference on Intelligent Engineering Systems (INES) (pp. 000377-000382), Spain, June, 2018.
[Link]

N. T. M. Saeed, C. Weber, M. Fathi, K. D. Kuhnert
An Approach for Modeling Spatial Prepositions with RDF Reification and Blank Nodes Based on the Environment Perception of a Simulated Mobile Robot
In 2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS) (pp. 713-716), Canada, August, 2018.
[Link]

W. Schulz, J. Zenkert, C. Weber, A. Klahold, M. Fathi
Sentilyzer: Aspect-Oriented Sentiment Analysis of Product Reviews
2018 International Conference on Computational Science and Computational Intelligence (CSCI), USA, December, 2018, https://doi.org/10.1109/CSCI46756.2018.00059, Accepted Version
[Link]

J. Zenkert, C. Weber, A. Klahold, M. Fathi, K. Hahn
Knowledge-based Production Documentation Analysis: An Integrated Text Mining Architecture
2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS), Windsor, Canada, August 2018, https://doi.org/10.1109/MWSCAS.2018.8623836, Accepted Version
[Link] [Scholar]

[BibTex]

@inproceedings{zenkert2018knowledge,
title={Knowledge-based production documentation analysis: An integrated text mining architecture},
author={Zenkert, Johannes and Weber, Christian and Klahold, Andre and Fathi, Madjid and Hahn, Kai},
booktitle={2018 IEEE 61st International Midwest Symposium on Circuits and Systems (MWSCAS)},
pages={717--720},
year={2018},
organization={IEEE}
}

H. Abu-Rasheed, C. Weber, S. Harrison, J. Zenkert, M. Fathi
Teacher, Student and Domain Based Educational Recommender System for Assessing Student's Preferences on Multiple Recommendation Sources
In proceedings of the 2nd Annual Learning & Student Analytics Conference, Amsterdam, 2018
[Link]

J. Zenkert, C. Weber, M. Fathi
Competence Oriented Multilingual Adaptive Language Assessment And Training System (COMALAT)
EDULEARN18 proceedings, 10.21125/edulearn.2018.0703, Palmas, Spain, 2-4 July, 2018
[Link]

H. Abu-Rasheed, C. Weber, S. Harrison, J. Zenkert, M. Fathi
What to learn next: Incorporating student, teacher and domain preferences for a comparative educational recommender system
EDULEARN18 proceedings, 10.21125/edulearn.2018.1610, Palmas, Spain, 2-4 July, 2018
[Link]

J. Zenkert, M. Dornhöfer, C. Weber, C. Ngoukam, M. Fathi
Big data analytics in smart mobility: Modeling and analysis of the Aarhus smart city dataset
2018 IEEE Industrial Cyber-Physical Systems (ICPS), Saint Petersburg, Russia, May, 2018. Accepted Version
[Link] [Scholar]

[BibTex]

@inproceedings{zenkert2018big,
title={Big data analytics in smart mobility: Modeling and analysis of the Aarhus smart city dataset},
author={Zenkert, Johannes and Dornhofer, Mareike and Weber, Christian and Ngoukam, Charly and Fathi, Madjid},
booktitle={2018 IEEE Industrial Cyber-Physical Systems (ICPS)},
pages={363--368},
year={2018},
organization={IEEE}
}

C. Weber
Creating a Concept Importance Measure for Domain Knowledge in the Context of Learning
Dissertation, In: Budapesti Corvinus Egyetem, 2017
[Link]

R. Vas, C. Weber
Analysing adaptive learning platforms utilizing domain ontologies: Searching for analytical implication
In: 1st Annual Learning and Student Analytics Conference (LSAC2017), 2017

A. Mallak, C. Weber, A. Holland, M. Fathi
Active Diagnosis Automotive Ontology for Distributed Embedded Systems
In: Proceedings of the 2017 IEEE European Technology and Engineering Management Summit(E-TEMS)
[Link] [Scholar]

[BibTex]

@inproceedings{mallak2017active,
title={Active diagnosis automotive ontology for distributed embedded systems},
author={Mallak, Ahlam and Weber, Christian and Fathi, Madjid and Holland, Alexander},
booktitle={2017 IEEE European Technology and Engineering Management Summit (E-TEMS)},
pages={1--6},
year={2017},
organization={IEEE}
}

A. Behravan, A. Mallak, R. Obermaisser, D. H. Basavegowda, C. Weber, M. Fathi
Fault injection framework for fault diagnosis based on machine learning in heating and demand-controlled ventilation systems
2017 IEEE 4th International Conference on Knowledge-Based Engineering and Innovation (KBEI), Tehran, 2017
[Link]

C. Weber
STUDIO: A Solution on Adaptive Testing
in Corporate Knowledge Discovery and Organizational Learning, Springer, Cham, 2016, pp. 131–153, DOI: 10.1007/978-3-319-28917-5_6
[Link]

C. Weber
Context-Aware Self-Assessment Path Generation for Personalised Education
Journal of the Scientific and Educational on Forum on Business Information Systems (SEFBIS), vol. 10, no. 10, pp. 53–66, 2016

C. Weber, R. Vas
TOP-DOWN OR BOTTOM UP: A COMPARATIVE STUDY ON ASSESSMENT STRATEGIES IN THE STUDIO ADAPTIVE LEARNING ENVIRONMENT
in Proceedings of the European Distance and E-learning Network 2016 Annual Conference, Budapest, Hungary, 2016, pp. 41–49

C. Weber, R. Vas
How to Learn More from Knowledge Networks through Social Network Analysis Measures
Professional Education and Training through Knowledge, Technology and Innovation, p. 45, 2016
[Link]

C. Weber, R. Vas
Applying connectivism? Does the connectivity of concepts make a difference for learning and assessment?
in 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016, pp. 002079–002084, DOI: 10.1109/SMC.2016.7844546
[Link]

C. Weber, R. Vas
STUDIO: A Domain Ontology Based Solution for Knowledge Discovery in Learning and Assessment
in Proceedings of the Special Interest Group for Education (SIGED) 2016, Dublin, Ireland, 2016

C. Weber
Studio: Ontology-Based Educational Self-Assessment
in Workshops Proceedings of EDM 2015 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015., Madrid, Spain, 2015, vol. 1446, pp. 33–40
Springer Berlin Heidelberg, May 2015.
[Link] [Scholar]

[BibTex]

@inproceedings{weber2015studio,
title={Studio: Ontology-Based Educational Self-Assessment.},
author={Weber, Christian and Vas, R{\'e}ka},
booktitle={EDM (Workshops)},
year={2015}
}

C. Weber, H. M. Truong, R. Vas
Context-Aware Self-Assessment in Higher education
in EDULEARN15 Proceedings, Barcelona, Spain, 2015, pp. 5910–5920
[Link]

C. Weber, R. Vas
Extending Computerized Adaptive Testing to Multiple Objectives: Envisioned on a Case from the Health Care
in Electronic Government and the Information Systems Perspective, vol. 8650, A. Kő and E. Francesconi, Eds. Springer International Publishing, 2014, pp. 148–162
[Link] [Scholar]

[BibTex]

@inproceedings{weber2014extending,
title={Extending Computerized Adaptive Testing to Multiple Objectives: Envisioned on a Case from the Health Care},
author={Weber, Christian and Vas, R{\'e}ka},
booktitle={International Conference on Electronic Government and the Information Systems Perspective},
pages={148--162},
year={2014},
organization={Springer}
}

C. Weber
Enabling a Context Aware Knowledge-Intense Computerized Adaptive Test through Complex Event Processing
Journal of the Scientific and Educational Forum on Business Information Systems (SEFBIS), vol. 9, no. 9, pp. 66–74, 2014

R. Montino, C. Weber
Industrialization of Customized AI Techniques: A Long Way to Success!
in Integration of Practice-Oriented Knowledge Technology: Trends and Prospectives, M. Fathi, Ed. Springer Berlin Heidelberg, 2013, pp. 231–246, DOI: 10.1007/978-3-642-34471-8_19
[Link]

M. Fathi (Ed.), A. Holland (Co-Ed.), F. Ansari (Co-Ed.), C. Weber (Co-Ed.)
Integrated Systems, Design and Technology 2010, Knowledge Transfer in New Technologies
1st Edition, 2011, 380 p.,Springer, ISBN: 978-3-642-17383-7
[Link] [Scholar]

[BibTex]

@book{holland2011integrated,
title={Integrated Systems, Design and Technology 2010: Knowledge Transfer in New Technologies},
author={Holland, Alexander and Ansari, Fazel and Weber, Christian},
year={2011},
publisher={Springer}
}

C. Sassenberg, C. Weber, M. Fathi, R. Montino
A Data Mining based Knowledge Management Approach for the Semiconductor Industry
In Proc. of the 2009 IEEE International Conference on Electro/Information Technology,IEEE EIT 2009, Windsor, Ontario, Canada, June 7-9, 2009.IEEE Press, ISBN:978-1-4244-3355,pages 72-77.
[Link] [Scholar]

[BibTex]

@inproceedings{sassenberg2009data,
title={A data mining based knowledge management approach for the semiconductor industry},
author={Sassenberg, Christian and Weber, Christian and Fathi, Madjid and Montino, Ralf},
booktitle={2009 IEEE International Conference on Electro/Information Technology},
pages={72--77},
year={2009},
organization={IEEE}
}

C. Sassenberg, C. Weber, M. Fathi, A. Holland, R. Montino
Feature Selection for Improving the Usability of Classification Results of High-Dimensional Data
The 2008 International Conference on Data Mining, DMIN, July 14-17, Las Vegas, USA, 2008
[Link] [Scholar]

[BibTex]

@inproceedings{sassenberg2008feature,
title={Feature Selection for Improving the Usability of Classification Results of High-Dimensional Data.},
author={Sassenberg, Christian and Weber, Christian and Fathi, Madjid and Holland, Alexander and Montino, Ralf},
booktitle={DMIN},
pages={197--201},
year={2008}
}

Fakultät IV

Christian Weber | Publikationen