@inproceedings{zeyen_nutrients_2018,
	series = {Lecture {Notes} in {Artificial} {Intelligence}},
	title = {{Considering Nutrients during the Generation of Recipes by Process-Oriented Case-based Reasoning}},
	url = {http://www.wi2.uni-trier.de/shared/publications/2018_ZeyenHoffmannMuellerBergmann_ICCBR.pdf},
	booktitle = {Case-{Based} {Reasoning} {Research} and {Development}: 26th {International} {Conference}, {ICCBR} 2018, {Stockholm}, {Sweden}, {July} 9-12, 2018, {Proceedings}},
	publisher = {Springer},
	author = {Zeyen, Christian and Hoffmann, Maximilian and M{\"u}ller, Gilbert and Bergmann, Ralph},
	editor = {Cox, Michael T. and Funk, Peter and Begum, Shahina},
	year = {2018},
	volume    = {11156},
	pages     = {464--479},
	note = {The original publication is available at www.springerlink.com}
}

@inproceedings{zeyen_conversational_2018,
  author    = {Christian Zeyen and
               Gilbert M{\"{u}}ller and
               Ralph Bergmann},
  editor    = {J{\'{e}}r{\^{o}}me Lang},
  title     = {A Conversational Approach to Process-Oriented Case-based Reasoning},
  booktitle = {Proceedings of the Twenty-Seventh International Joint Conference on
               Artificial Intelligence, {IJCAI} 2018, July 13-19, 2018, Stockholm,
               Sweden.},
  pages     = {5404--5408},
  publisher = {ijcai.org},
  year      = {2018},
  url       = {http://www.wi2.uni-trier.de/shared/publications/2018_ZeyenMuellerBergmann_IJCAI.pdf},
  doi       = {https://doi.org/10.24963/ijcai.2018/762}
}

@incollection{bergmann_similarity-based_2017,
	series = {Advances in {Intelligent} {Systems} and {Computing}},
	title = {Similarity-based {Retrieval} and {Automatic} {Adaptation} of {Semantic} {Workflows}},
	number = {626},
	booktitle = {Synergies {Between} {Knowledge} {Engineering} and {Software} {Engineering}},
	publisher = {Springer},
	author = {Bergmann, Ralph and M{\"u}ller, Gilbert},
	editor = {Nalepa, Grzegorz J. and Baumeister, Joachim},
	year = {2017},
	pages = {31--54}
}

@inproceedings{muller_complexity-aware_2017,
	series = {Lecture {Notes} in {Computer} {Science}},
	title = {Complexity-{Aware} {Generation} of {Workflows} by {Process}-{Oriented} {Case}-{Based}  {Reasoning}},
	volume = {2017},
	url = {http://www.wi2.uni-trier.de/shared/publications/2017_MuellerBergmann_KI.pdf},
	booktitle = {{KI} - 40th {German} {Conference} on {Artificial} {Intelligence}  {September} 25-29th, 2017: {Dortmund}, {Germany}},
	publisher = {Springer},
	author = {M{\"u}ller, Gilbert and Bergmann, Ralph},
	year = {2017},
	note = {The original publication is available at www.springerlink.com},
	pages = {207--221}
}

@inproceedings{bergmann_ever:_2017,
	title = {{EVER}: {Extraction} and {Processing} of {Procedural} {Experience} {Knowledge} in {Workflows}},
	url = {http://www.wi2.uni-trier.de/shared/publications/2017_BergmannMinorMuellerSchumacher_POCBR-ICCBR.pdf},
	booktitle = {3rd {Workshop} on {Process} {Oriented} {Case}-{Based} {Reasoning}},
	publisher = {CEUR Workshop Proceedings},
	author = {Bergmann, Ralph and Minor, Mirjam and M{\"u}ller, Gilbert and Schumacher, Pol},
	year = {2017}
}

@inproceedings{bergmann_cooking_2017,
	title = {Cooking made easy: {On} a novel approach to complexity-aware recipe generation},
	url = {http://www.wi2.uni-trier.de/shared/publications/2017_MuellerBergmann_CCC.pdf},
	booktitle = {Workshop of the 2017 {Computer} {Cooking} {Contest}},
	publisher = {CEUR Workshop Proceedings},
	author = {Bergmann, Ralph and M{\"u}ller, Gilbert},
	year = {2017}
}

@inproceedings{zeyen_conversational_2017,
	title = {Conversational retrieval of cooking recipes},
	url = {http://www.wi2.uni-trier.de/shared/publications/2017_ZeyenMuellerBergmann_CCC.pdf},
	booktitle = {Workshop of the 2017 {Computer} {Cooking} {Contest}},
	publisher = {CEUR Workshop Proceedings},
	author = {Zeyen, Christian and M{\"u}ller, Gilbert and Bergmann, Ralph},
	year = {2017}
}

@inproceedings{zeyen_conversational_2017-1,
	series = {Lecture {Notes} in {Artificial} {Intelligence}},
	title = {Conversational {Process}-{Oriented} {Case}-{Based} {Reasoning}},
	volume = {10339},
	url = {http://www.wi2.uni-trier.de/shared/publications/2017_ZeyenMuellerBergmann_ICCBR.pdf},
	booktitle = {Case-{Based} {Reasoning} {Research} and {Development}: 25th {International} {Conference}, {ICCBR} 2017, {Trondheim}, {Norway}, {June} 26-28, 2017, {Proceedings}},
	publisher = {Springer International Publishing},
	author = {Zeyen, Christian and M{\"u}ller, Gilbert and Bergmann, Ralph},
	editor = {Aha, David W. and Lieber, Jean},
	year = {2017},
	note = {The original publication is available at www.springerlink.com},
	pages = {403--419}
}

@techreport{bergmann_ever_2016,
	title = {{EVER} - {Extraction} and {Processing} of {Procedural} {Experience} {Knowledge} in {Workflows}},
	institution = {Universit{\"a}t Trier, Lehrstuhl f{\"u}r Wirtschaftsinformatik II},
	author = {Bergmann, Ralph and Minor, Mirjam and M{\"u}ller, Gilbert and Schumacher, Pol},
	year = {2016},
	pages = {1--9}
}

@inproceedings{grumbach_semaflex_2016,
	series = {{CEUR} {Workshop} {Proceedings}},
	title = {{SEMAFLEX} - {Semantic} {Integration} of {Flexible} {Workflow} and {Document} {Management}},
	volume = {1670},
	url = {http://www.wi2.uni-trier.de/publications/2016_GrumbachtEtAl_LWDA.pdf},
	booktitle = {Lernen. {Wissen}. {Daten}. {Analysen}. ({LWDA} 2016)},
	author = {Grumbach, Lisa and Rietzke, Eric and Schwinn, Markus and Bergmann, Ralph and Kuhn, Norbert and Krestel, Ralf and Mottin, Davide and M{\"u}ller, Emmanuel},
	year = {2016},
	pages = {43--50}
}

@inproceedings{bergmann_retrieving_2016,
	address = {Key Largo, Florida, USA},
	title = {Retrieving {Adaptable} {Cases} in {Process}-{Oriented} {Case}-{Based} {Reasoning}},
	url = {http://www.wi2.uni-trier.de/publications/2016_Bergmann_Flairs.pdf},
	abstract = {This paper presents a novel approach to retrieval in
process-oriented case-based reasoning (POCBR) which
considers the adaptability of workflows cases during
the retrieval phase. A novel concept of adaptability in
POCBR is proposed, which assesses the potential similarity
increase of a case which can be gained by adaptation.
The adaptability of a case is learned from the case
base in an off-line pre-processing phase prior to the retrieval.
The proposed approach is generic as it can be
used in combination with different adaptation methods.
An empirical evaluation in the domain of cooking workflows
demonstrates the benefit of the approach.},
	booktitle = {Proceedings of the {Twenty}-{Ninth} {International} {Florida} {Artificial} {Intelligence} {Research} {Society} {Conference}},
	publisher = {AAAI Press},
	author = {Bergmann, Ralph and M{\"u}ller, Gilbert and Zeyen, Christian and Manderscheid, Jens},
	editor = {Markov, Zdravko and Russel, Ingrid},
	year = {2016},
	pages = {419--424}
}

This paper presents a novel approach to retrieval in process-oriented case-based reasoning (POCBR) which considers the adaptability of workflows cases during the retrieval phase. A novel concept of adaptability in POCBR is proposed, which assesses the potential similarity increase of a case which can be gained by adaptation. The adaptability of a case is learned from the case base in an off-line pre-processing phase prior to the retrieval. The proposed approach is generic as it can be used in combination with different adaptation methods. An empirical evaluation in the domain of cooking workflows demonstrates the benefit of the approach.

@inproceedings{minor_transferability_2016,
	series = {Lecture {Notes} in {Artificial} {Intelligence}},
	title = {On the {Transferability} of {Process}-oriented {Cases}},
	volume = {9969},
	url = {http://www.wi2.uni-trier.de/publications/2016_MinorBergmann_ICCBR.pdf},
	abstract = {The paper studies the feasibility of using transfer learning
for process-oriented case-based reasoning. The work introduces a novel
approach to transfer work
ow cases from a loosely related source domain
to a target domain. The idea is to develop a representation mapper based
on work
ow generalization, work
ow abstraction, and structural analogy
in vocabulary. The approach is illustrated by a pair of sample domains on
two sub-?elds of customer relationship management, which have similar
process objectives but di?erent tasks and data to ful?ll them. An experiment
with expert ratings of transferred cases is conducted to test the
feasibility of the approach with promising results for work
ow modelling
support.},
	booktitle = {Case-{Based} {Reasoning} {Research} and {Development} - 24nd {International} {Conference}, {ICCBR} 2016, {Atlanta}, {USA}. {Proceedings}},
	publisher = {Springer},
	author = {Minor, Mirjam and Bergmann, Ralph and M{\"u}ller, Jan-Martin and Sp{\"a}t, Alexander},
	editor = {Goel, Ashok K. and Diaz-Agudo, Belen and Roth-Berghofer, Thomas},
	year = {2016},
	note = {The original publication is available at www.springerlink.com},
	pages = {281--294}
}

The paper studies the feasibility of using transfer learning for process-oriented case-based reasoning. The work introduces a novel approach to transfer work ow cases from a loosely related source domain to a target domain. The idea is to develop a representation mapper based on work ow generalization, work ow abstraction, and structural analogy in vocabulary. The approach is illustrated by a pair of sample domains on two sub-?elds of customer relationship management, which have similar process objectives but di?erent tasks and data to ful?ll them. An experiment with expert ratings of transferred cases is conducted to test the feasibility of the approach with promising results for work ow modelling support.

@inproceedings{muller_case_2016,
	series = {Lecture {Notes} in {Artificial} {Intelligence}},
	title = {Case {Completion} of {Workflows} for {Process}-{Oriented} {Case}-{Based} {Reasoning}},
	volume = {9969},
	url = {http://www.wi2.uni-trier.de/publications/2016_MuellerBergmann_ICCBR.pdf},
	abstract = {Cases available in real world domains are often incomplete and sometimes
lack important information. Using incomplete cases in a CBR system can
be harmful, as the lack of information can result in inappropriate similarity computations
or incompletely generated adaptation knowledge. Case completion aims
to overcome this issue by inferring missing information. This paper presents
a novel approach to case completion for process-oriented case-based reasoning
(POCBR). In particular, we address the completion of workflow cases by
adding missing or incomplete dataflow information. Therefore, we combine automatically
learned domain specific completion operators with generic domainindependent
default rules. The empirical evaluation demonstrates that the presented
completion approach is capable of deriving complete workflows with high
quality and a high degree of completeness.},
	booktitle = {Case-{Based} {Reasoning} {Research} and {Development} - 24nd {International} {Conference}, {ICCBR} 2016, {Atlanta}, {USA}. {Proceedings}},
	publisher = {Springer},
	author = {M{\"u}ller, Gilbert and Bergmann, Ralph},
	editor = {Goel, A. and Diaz-Agudo, B. and Roth-Berghofer, Thomas},
	year = {2016},
	note = {The original publication is available at www.springerlink.com},
	pages = {295--310}
}

Cases available in real world domains are often incomplete and sometimes lack important information. Using incomplete cases in a CBR system can be harmful, as the lack of information can result in inappropriate similarity computations or incompletely generated adaptation knowledge. Case completion aims to overcome this issue by inferring missing information. This paper presents a novel approach to case completion for process-oriented case-based reasoning (POCBR). In particular, we address the completion of workflow cases by adding missing or incomplete dataflow information. Therefore, we combine automatically learned domain specific completion operators with generic domainindependent default rules. The empirical evaluation demonstrates that the presented completion approach is capable of deriving complete workflows with high quality and a high degree of completeness.

@inproceedings{muller_cookingcake:_2015,
	address = {Springer},
	title = {{CookingCAKE}: {A} {Framework} for the adaptation of cooking recipes represented as workflows},
	url = {http://www.wi2.uni-trier.de/publications/2015_MuellerBergmannCCC.pdf},
	booktitle = {Computer {Cooking} {Contest}, {Workshop} {Proceedings} {ICCBR} 2015},
	author = {M{\"u}ller, Gilbert and Bergmann, Ralph},
	year = {2015}
}

@inproceedings{muller_poql:_2015,
	address = {Trier},
	series = {{CEUR} {Workshop} {Proceedings}},
	title = {{POQL}: {A} {New} {Query} {Language} for {Process}-{Oriented} {Case}-{Based} {Reasoning}},
	volume = {1458},
	url = {http://www.wi2.uni-trier.de/publications/2015_MuellerBergmannLWA.pdf},
	booktitle = {Proceedings of the {LWA} 2015 {Workshops}: {KDML}, {FGWM}, {IR}, and {FGDB}},
	author = {M{\"u}ller, Gilbert and Bergmann, Ralph},
	editor = {Bergmann, Ralph and G{\"o}rg, Sebastian and M{\"u}ller, Gilbert},
	year = {2015},
	pages = {247--255}
}

@inproceedings{muller_generalization_2015,
	address = {Hollywood (Florida), USA},
	title = {Generalization of {Workflows} in {Process}-{Oriented} {Case}-{Based} {Reasoning}},
	url = {http://www.wi2.uni-trier.de/publications/2015_MuellerBergmannFLAIRS.pdf},
	booktitle = {28th {International} {FLAIRS} {Conference}},
	publisher = {AAAI Press},
	author = {M{\"u}ller, Gilbert and Bergmann, Ralph and Russel, Ingrid and Eberle, William},
	year = {2015},
	pages = {391--396}
}

@inproceedings{muller_learning_2015,
	series = {Lecture {Notes} in {Artificial} {Intelligence}},
	title = {Learning and {Applying} {Adaptation} {Operators} in {Process}-{Oriented} {Case}-{Based} {Reasoning}},
	volume = {9343},
	url = {http://www.wi2.uni-trier.de/publications/2015_MuellerBergmannICCBR.pdf},
	booktitle = {Case-{Based} {Reasoning} {Research} and {Development} - 23nd {International} {Conference}, {ICCBR} 2015, {Frankfurt}, {Germany}, {September} 28, 2015 - {September} 30, 2015. {Proceedings}},
	publisher = {Spinger},
	author = {M{\"u}ller, Gilbert and Bergmann, Ralph},
	editor = {H{\"u}llermeier, Eyke and Minor, Mirjam},
	year = {2015},
	pages = {259--274}
}

@inproceedings{muller_compositional_2014,
	address = {Springer},
	title = {Compositional {Adaptation} of {Cooking} {Recipes} using {Workflow} {Streams}},
	url = {http://www.wi2.uni-trier.de/publications/2014_MuellerBergmannCCC.pdf},
	booktitle = {Computer {Cooking} {Contest}, {Workshop} {Proceedings} {ICCBR} 2014},
	author = {M{\"u}ller, Gilbert and Bergmann, Ralph},
	year = {2014},
	note = {The original publication is available at www.springerlink.com}
}

@inproceedings{bergmann_collaborative_2014,
	address = {New York, NY, USA},
	series = {{GROUP} '14},
	title = {The {Collaborative} {Agile} {Knowledge} {Engine} {CAKE}},
	isbn = {978-1-4503-3043-5},
	url = {http://www.wi2.uni-trier.de/publications/2014_CAKE_ACM.pdf},
	doi = {10.1145/2660398.2663771},
	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.},
	urldate = {2014-12-11},
	booktitle = {Proceedings of the 18th {International} {Conference} on {Supporting} {Group} {Work}},
	publisher = {ACM},
	author = {Bergmann, Ralph and Gessinger, Sarah and G{\"o}rg, Sebastian and M{\"u}ller, Gilbert},
	year = {2014},
	keywords = {agile workflows, case-based reasoning, knowledge management, process management},
	pages = {281--284}
}

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.

@inproceedings{muller_cluster-based_2014,
	address = {IOS Press},
	title = {A {Cluster}-{Based} {Approach} to {Improve} {Similarity}-{Based} {Retrieval} for {Process}-{Oriented} {Case}-{Based} {Reasoning}},
	url = {http://www.wi2.uni-trier.de/publications/2014_MuellerBergmannECAI.pdf},
	booktitle = {20th {European} {Conference} on {Artificial} {Intelligence} ({ECAI} 2014)},
	author = {M{\"u}ller, Gilbert and Bergmann, Ralph},
	editor = {Schaub, Torsten and Friedrich, Gerhard and O'Sullivan, Barry},
	year = {2014},
	note = {Preprint of this article available for download.},
	pages = {639--644}
}

@inproceedings{muller_workflow_2014,
	series = {Lecture {Notes} in {Artificial} {Intelligence}},
	title = {Workflow {Streams}: {A} {Means} for {Compositional} {Adaptation} in {Process}-{Oriented} {CBR}},
	volume = {8765},
	url = {http://www.wi2.uni-trier.de/publications/2014_MuellerBergmannICCBR.pdf},
	booktitle = {Case-{Based} {Reasoning} {Research} and {Development} - 22nd {International} {Conference}, {ICCBR} 2014, {Cork}, {Ireland}, {September} 29, 2014 - {October} 1, 2014. {Proceedings}},
	publisher = {Springer},
	author = {M{\"u}ller, Gilbert and Bergmann, Ralph},
	editor = {Lamontagne, Luc and Plaza, Enric},
	year = {2014},
	note = {Best phd student paper award. The original publication is available at www.springerlink.com},
	pages = {315--329}
}

@inproceedings{bergmann_workflow_2013,
	series = {Lecture {Notes} in {Artificial} {Intelligence}},
	title = {Workflow {Clustering} {Using} {Semantic} {Similarity} {Measures}},
	volume = {8077},
	url = {http://www.wi2.uni-trier.de/publications/2013_BergmannMuellerWittkowskyKI.pdf},
	booktitle = {{KI} 2013: {Advances} in {Artificial} {Intelligence}},
	publisher = {Springer},
	author = {Bergmann, Ralph and M{\"u}ller, Gilbert and Wittkowsky, Daniel},
	editor = {Timm, Ingo and Thimm, Matthias},
	year = {2013},
	note = {The original publication is available at www.springerlink.com}
}

@inproceedings{muller_knowledge_2006,
	address = {Hildesheim},
	title = {Knowledge {Search} within a {Company}-{WIKI}},
	url = {http://www.wi2.uni-trier.de/publications/2006_LWA_paper_final.pdf},
	booktitle = {{LWA} 2006 : {Lernen} - {Wissensentdeckung} - {Adaptivit{\"a}t}},
	author = {M{\"u}ller, Stephanie and Kritzler, Nils and Tartakovski, Alexander and Bergmann, Ralph and Traph{\"o}ner, Ralph},
	editor = {Schaaf, Martin and Althoff, Klaus-Dieter},
	year = {2006},
	pages = {209--214}
}

@techreport{tautz_requirements_2001,
	title = {Requirements on {IP} {Qualifying} {Format}. {IPQ} {Deliverable} {AP}1-{T}1-{Q}2},
	institution = {University of Kaiserslautern},
	author = {Tautz, Carsten and Traph{\"o}ner, Ralph and R{\"u}lke, Stefan and Martinez, N. and Seepolt, Ralf and V{\"o}rg, A. and Radetzki, Martin and Thronicke, Wolfgang and Jerinic, V. and M{\"u}ller, D. and Siegmund, M. and Bergmann, Ralph and Vollrath, Ivo and Schaaf, Martin},
	year = {2001}
}