On the Use of Scientific Workflows for Digital Humanities Research.
Hess, J.; and Zeyen, C.
Technical Report University of Trier, Department of Business Information Systems II, 2019.
Paper
link
bibtex
@techreport{zeyen_2019_technical_report,
title = {On the Use of Scientific Workflows for Digital Humanities Research},
url = {http://www.wi2.uni-trier.de/publications/2019_Hess_Zeyen_Technical_Report.pdf},
institution = {University of Trier, Department of Business Information Systems II},
author = {Hess, Jan and Zeyen, Christian},
year = {2019}
}
Interactive Assistance for Scientic Workflow Modeling by Case-Based Reasoning.
Zeyen, C.
In Kapetanakis, S.; and Borck, H., editor(s),
Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning co-located with the Twenty-seventh International Conference on Case-Based Reasoning (ICCBR 2019), Otzenhausen, Germany, September 8-12, 2019, volume 2567, of
CEUR Workshop Proceedings, pages 205–209, 2019. CEUR-WS.org
Paper
link
bibtex
3 downloads
@inproceedings{zeyen_dc_iccbr_2019,
author = {Christian Zeyen},
editor = {Stelios Kapetanakis and
Hayley Borck},
title = {Interactive Assistance for Scientic Workflow Modeling by Case-Based
Reasoning},
booktitle = {Workshops Proceedings for the Twenty-seventh International Conference
on Case-Based Reasoning co-located with the Twenty-seventh International
Conference on Case-Based Reasoning {(ICCBR} 2019), Otzenhausen, Germany,
September 8-12, 2019},
series = {{CEUR} Workshop Proceedings},
volume = {2567},
pages = {205--209},
publisher = {CEUR-WS.org},
year = {2019},
url = {http://ceur-ws.org/Vol-2567/paper23.pdf}
}
Adaptation of Scientific Workflows by Means of Process-Oriented Case-Based Reasoning.
Zeyen, C.; Malburg, L.; and Bergmann, R.
In Bach, K.; and Marling, C., editor(s),
Case-Based Reasoning Research and Development: 27th International Conference, ICCBR 2019, Otzenhausen, Germany, September 8-12, 2019, Proceedings, of
Lecture Notes in Artificial Intelligence, pages 388–403, 2019. Springer
The original publication is available at www.springerlink.com
Paper
doi
link
bibtex
abstract
51 downloads
@inproceedings{zeyen_scientificWF_adaptation_2019,
title = {{Adaptation of Scientific Workflows by Means of Process-Oriented Case-Based Reasoning}},
editor = {Kerstin Bach and
Cindy Marling},
booktitle = {Case-{Based} {Reasoning} {Research} and {Development}: 27th {International} {Conference}, {ICCBR} 2019, {Otzenhausen}, {Germany}, {September} 8-12, 2019, {Proceedings}},
publisher = {Springer},
series = {Lecture {Notes} in {Artificial} {Intelligence}},
author = {Zeyen, Christian and Malburg, Lukas and Bergmann, Ralph},
year = {2019},
keywords = {{Process-Oriented Case-Based Reasoning, Workflow Adaptation, Scientific Workflows}},
abstract = {This paper investigates automatic adaptation of scientific workflows in process-oriented case-based
reasoning with the goal of providing modeling assistance. With regard to our previous work on the
adaptation of business workflows, we discuss the differences between the workflow types and the
implications for transferring the approaches to scientific workflows. An experimental evaluation with
RapidMiner workflows demonstrates that the approaches can significantly improve workflows towards a
given query while mostly maintaining their executability and semantic correctness.},
pages = {388--403},
year = {2019},
crossref = {DBLP:conf/iccbr/2019},
url = {https://doi.org/10.1007/978-3-030-29249-2\_26},
doi = {10.1007/978-3-030-29249-2\_26},
note = {The original publication is available at www.springerlink.com},
url = {http://www.wi2.uni-trier.de/shared/publications/2019_ZeyenMalburgBergmann_ICCBR.pdf},
}
This paper investigates automatic adaptation of scientific workflows in process-oriented case-based reasoning with the goal of providing modeling assistance. With regard to our previous work on the adaptation of business workflows, we discuss the differences between the workflow types and the implications for transferring the approaches to scientific workflows. An experimental evaluation with RapidMiner workflows demonstrates that the approaches can significantly improve workflows towards a given query while mostly maintaining their executability and semantic correctness.
ProCAKE: A Process-Oriented Case-Based Reasoning Framework.
Bergmann, R.; Grumbach, L.; Malburg, L.; and Zeyen, C.
In Kapetanakis, S.; and Borck, H., editor(s),
Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning co-located with the Twenty-seventh International Conference on Case-Based Reasoning (ICCBR 2019), Otzenhausen, Germany, September 8-12, 2019, volume 2567, of
CEUR Workshop Proceedings, pages 156–161, 2019. CEUR-WS.org
Paper
link
bibtex
abstract
56 downloads
@inproceedings{bergmann_proCAKE_demo_2019,
title = {{ProCAKE: A Process-Oriented Case-Based Reasoning Framework}},
author = {Bergmann, Ralph and Grumbach, Lisa and Malburg, Lukas and Zeyen, Christian},
year = {2019},
editor = {Stelios Kapetanakis and
Hayley Borck},
booktitle = {{Workshops Proceedings for the Twenty-seventh International Conference
on Case-Based Reasoning co-located with the Twenty-seventh International
Conference on Case-Based Reasoning {(ICCBR} 2019), Otzenhausen, Germany,
September 8-12, 2019}},
series = {{CEUR} Workshop Proceedings},
volume = {2567},
pages = {156--161},
publisher = {CEUR-WS.org},
keywords = {{Knowledge Management, Process Management, Case-Based Reasoning}},
abstract={This paper presents ProCAKE -- the process-oriented case-based knowledge engine of the CAKE framework, which has evolved from several research projects at the University of Trier over the years. ProCAKE constitutes a domain-independent framework that can be used to implement diverse structural or process-oriented case-based reasoning applications for integrated process and knowledge management. This paper gives an overview of the main components and demonstrates their application by examples.},
url = {http://www.wi2.uni-trier.de/shared/publications/2019_BergmannGrumbachMalburgZeyen_ICCBR_Demo.pdf},
}
This paper presents ProCAKE – the process-oriented case-based knowledge engine of the CAKE framework, which has evolved from several research projects at the University of Trier over the years. ProCAKE constitutes a domain-independent framework that can be used to implement diverse structural or process-oriented case-based reasoning applications for integrated process and knowledge management. This paper gives an overview of the main components and demonstrates their application by examples.