Publications
2023
Schultheis, Alexander; Zeyen, Christian; Bergmann, Ralph
An Overview and Comparison of Case-Based Reasoning Frameworks Proceedings Article
In: Case-Based Reasoning Research and Development - 31st International Conference, ICCBR 2023, Aberdeen, Scotland, July 17-20, 2023, Proceedings, pp. 327–343, Springer, 2023.
Abstract | Links | BibTeX | Tags: Case-Based Reasoning, CBR Applications, CBR Framework, CloodCBR, eXiT*CBR, jColibri, myCBR, ProCAKE
@inproceedings{SchultheisZB2023,
title = {An Overview and Comparison of Case-Based Reasoning Frameworks},
author = {Alexander Schultheis and Christian Zeyen and Ralph Bergmann},
url = {https://www.wi2.uni-trier.de/shared/publications/2023_ICCBR_SchultheisZB.pdf},
doi = {10.1007/978-3-031-40177-0_21},
year = {2023},
date = {2023-01-01},
booktitle = {Case-Based Reasoning Research and Development - 31st International Conference, ICCBR 2023, Aberdeen, Scotland, July 17-20, 2023, Proceedings},
volume = {14141},
pages = {327–343},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
abstract = {Case-Based Reasoning (CBR) is a methodology with many applications in industrial and scientific domains. Over the past decades, various frameworks have been developed to facilitate the development of CBR applications. For practitioners and researchers, it is challenging to overview the landscape of existing frameworks with their specific scope and features. This makes it difficult to choose the most suitable framework for specific requirements. To address this issue, this work provides an overview and comparison of CBR frameworks, focusing on five recent, open-source CBR frameworks: CloodCBR, eXiT*CBR, jColibri, myCBR, and ProCAKE. They are compared by supported CBR types, knowledge containers, CBR phases, interfaces, and special features.},
keywords = {Case-Based Reasoning, CBR Applications, CBR Framework, CloodCBR, eXiT*CBR, jColibri, myCBR, ProCAKE},
pubstate = {published},
tppubtype = {inproceedings}
}
Case-Based Reasoning (CBR) is a methodology with many applications in industrial and scientific domains. Over the past decades, various frameworks have been developed to facilitate the development of CBR applications. For practitioners and researchers, it is challenging to overview the landscape of existing frameworks with their specific scope and features. This makes it difficult to choose the most suitable framework for specific requirements. To address this issue, this work provides an overview and comparison of CBR frameworks, focusing on five recent, open-source CBR frameworks: CloodCBR, eXiT*CBR, jColibri, myCBR, and ProCAKE. They are compared by supported CBR types, knowledge containers, CBR phases, interfaces, and special features.
2014
Bergmann, Ralph; Gessinger, Sarah; Görg, Sebastian; Müller, Gilbert
The Collaborative Agile Knowledge Engine CAKE Proceedings Article
In: Proceedings of the 18th International Conference on Supporting Group Work, pp. 281–284, ACM, New York, NY, USA, 2014, ISBN: 978-1-4503-3043-5.
Abstract | Links | BibTeX | Tags: agile workflows, Case-Based Reasoning, Knowledge Management, Process Management
@inproceedings{bergmann_collaborative_2014,
title = {The Collaborative Agile Knowledge Engine CAKE},
author = {Ralph Bergmann and Sarah Gessinger and Sebastian Görg and Gilbert Müller},
url = {http://doi.acm.org/10.1145/2660398.2663771},
doi = {10.1145/2660398.2663771},
isbn = {978-1-4503-3043-5},
year = {2014},
date = {2014-01-01},
urldate = {2014-12-11},
booktitle = {Proceedings of the 18th International Conference on Supporting Group Work},
pages = {281–284},
publisher = {ACM},
address = {New York, NY, USA},
series = {GROUP '14},
abstract = {The Collaborative Agile Knowledge Engine (CAKE) is a prototypical generic software system for integrated process and knowledge management. CAKE integrates recent research results on agile workflows, process-oriented case-based reasoning, and web technologies into a common platform that can be configured to different application domains and needs. We describe the main concepts and the architecture of CAKE and sketch three example applications.},
keywords = {agile workflows, Case-Based Reasoning, Knowledge Management, Process Management},
pubstate = {published},
tppubtype = {inproceedings}
}
The Collaborative Agile Knowledge Engine (CAKE) is a prototypical generic software system for integrated process and knowledge management. CAKE integrates recent research results on agile workflows, process-oriented case-based reasoning, and web technologies into a common platform that can be configured to different application domains and needs. We describe the main concepts and the architecture of CAKE and sketch three example applications.