Challenges and Support Potentials in the Development of CBR Applications. Grewenig, L., Zeyen, C., Schultheis, A., Malburg, L., & Bergmann, R. In Case-Based Reasoning Research and Development - 34th International Conference, ICCBR 2026, Bremen, Germany, August 13 - 16, 2026, Proceedings, volume 16780, of Lecture Notes in Computer Science, pages 590-607, 2026. Springer. ![Challenges and Support Potentials in the Development of CBR Applications [pdf]](https://bibbase.org/img/filetypes/pdf.svg "pdf")
Paper doi abstract bibtex 4 downloads Developing Case-Based Reasoning applications is a knowledge-intensive task that consists of numerous demanding and time-consuming development steps. Major challenges are posed by knowledge engineering since CBR systems depend on capturing, validating, and maintaining domain knowledge in an explicit, machine-interpretable form. This usually can be done only in a close interdisciplinary collaboration between CBR and domain experts. To support development, previous works put forth a broad spectrum of support functions but mostly have not yet addressed the synergies of support functions or the potentials for involving domain experts, particularly those without knowledge-engineering experience. To further improve the accessibility of CBR frameworks and to reduce the effort of development, this paper consolidates development challenges along with corresponding support methods. In addition, we address the potentials for involving domain experts in the development with the help of support functions. We derived development challenges and support potentials from literature and conducted an explorative survey in the CBR research community.
@inproceedings{GrewenigZSMB2026,
author = {Lisa Grewenig and Christian Zeyen and Alexander Schultheis and Lukas Malburg and Ralph Bergmann},
title = {{Challenges and Support Potentials in the Development of CBR Applications}},
booktitle = {Case-Based Reasoning Research and Development - 34th International Conference, {ICCBR} 2026, Bremen, Germany, August 13 - 16, 2026, Proceedings},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
volume = {16780},
pages = {590-607},
year = {2026},
doi = {10.1007/978-3-032-33865-5_36},
url = {https://www.wi2.uni-trier.de/shared/publications/2026_ICCBR_GrewenigEtAl.pdf},
abstract = {Developing Case-Based Reasoning applications is a knowledge-intensive task that consists of numerous demanding and time-consuming development steps. Major challenges are posed by knowledge engineering since CBR systems depend on capturing, validating, and maintaining domain knowledge in an explicit, machine-interpretable form. This usually can be done only in a close interdisciplinary collaboration between CBR and domain experts. To support development, previous works put forth a broad spectrum of support functions but mostly have not yet addressed the synergies of support functions or the potentials for involving domain experts, particularly those without knowledge-engineering experience. To further improve the accessibility of CBR frameworks and to reduce the effort of development, this paper consolidates development challenges along with corresponding support methods. In addition, we address the potentials for involving domain experts in the development with the help of support functions. We derived development challenges and support potentials from literature and conducted an explorative survey in the CBR research community.},
keywords = {Case-Based Reasoning, CBR Applications, Knowledge Engineering, Domain Experts, Development Support}
}
Downloads: 4
{"_id":"sk25TS3XgEmrEhM6f","bibbaseid":"grewenig-zeyen-schultheis-malburg-bergmann-challengesandsupportpotentialsinthedevelopmentofcbrapplications-2026","author_short":["Grewenig, L.","Zeyen, C.","Schultheis, A.","Malburg, L.","Bergmann, R."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["Lisa"],"propositions":[],"lastnames":["Grewenig"],"suffixes":[]},{"firstnames":["Christian"],"propositions":[],"lastnames":["Zeyen"],"suffixes":[]},{"firstnames":["Alexander"],"propositions":[],"lastnames":["Schultheis"],"suffixes":[]},{"firstnames":["Lukas"],"propositions":[],"lastnames":["Malburg"],"suffixes":[]},{"firstnames":["Ralph"],"propositions":[],"lastnames":["Bergmann"],"suffixes":[]}],"title":"Challenges and Support Potentials in the Development of CBR Applications","booktitle":"Case-Based Reasoning Research and Development - 34th International Conference, ICCBR 2026, Bremen, Germany, August 13 - 16, 2026, Proceedings","series":"Lecture Notes in Computer Science","publisher":"Springer","volume":"16780","pages":"590-607","year":"2026","doi":"10.1007/978-3-032-33865-5_36","url":"https://www.wi2.uni-trier.de/shared/publications/2026_ICCBR_GrewenigEtAl.pdf","abstract":"Developing Case-Based Reasoning applications is a knowledge-intensive task that consists of numerous demanding and time-consuming development steps. Major challenges are posed by knowledge engineering since CBR systems depend on capturing, validating, and maintaining domain knowledge in an explicit, machine-interpretable form. This usually can be done only in a close interdisciplinary collaboration between CBR and domain experts. To support development, previous works put forth a broad spectrum of support functions but mostly have not yet addressed the synergies of support functions or the potentials for involving domain experts, particularly those without knowledge-engineering experience. To further improve the accessibility of CBR frameworks and to reduce the effort of development, this paper consolidates development challenges along with corresponding support methods. In addition, we address the potentials for involving domain experts in the development with the help of support functions. We derived development challenges and support potentials from literature and conducted an explorative survey in the CBR research community.","keywords":"Case-Based Reasoning, CBR Applications, Knowledge Engineering, Domain Experts, Development Support","bibtex":"@inproceedings{GrewenigZSMB2026,\n author = {Lisa Grewenig and Christian Zeyen and Alexander Schultheis and Lukas Malburg and Ralph Bergmann},\n title = {{Challenges and Support Potentials in the Development of CBR Applications}},\n booktitle = {Case-Based Reasoning Research and Development - 34th International Conference, {ICCBR} 2026, Bremen, Germany, August 13 - 16, 2026, Proceedings},\n series = {Lecture Notes in Computer Science},\n publisher = {Springer},\n volume = {16780},\n pages = {590-607},\n year = {2026},\n doi = {10.1007/978-3-032-33865-5_36},\n url = {https://www.wi2.uni-trier.de/shared/publications/2026_ICCBR_GrewenigEtAl.pdf},\n abstract = {Developing Case-Based Reasoning applications is a knowledge-intensive task that consists of numerous demanding and time-consuming development steps. Major challenges are posed by knowledge engineering since CBR systems depend on capturing, validating, and maintaining domain knowledge in an explicit, machine-interpretable form. This usually can be done only in a close interdisciplinary collaboration between CBR and domain experts. To support development, previous works put forth a broad spectrum of support functions but mostly have not yet addressed the synergies of support functions or the potentials for involving domain experts, particularly those without knowledge-engineering experience. To further improve the accessibility of CBR frameworks and to reduce the effort of development, this paper consolidates development challenges along with corresponding support methods. In addition, we address the potentials for involving domain experts in the development with the help of support functions. We derived development challenges and support potentials from literature and conducted an explorative survey in the CBR research community.},\n keywords = {Case-Based Reasoning, CBR Applications, Knowledge Engineering, Domain Experts, Development Support}\n}\n\n\n","author_short":["Grewenig, L.","Zeyen, C.","Schultheis, A.","Malburg, L.","Bergmann, R."],"key":"GrewenigZSMB2026","id":"GrewenigZSMB2026","bibbaseid":"grewenig-zeyen-schultheis-malburg-bergmann-challengesandsupportpotentialsinthedevelopmentofcbrapplications-2026","role":"author","urls":{"Paper":"https://www.wi2.uni-trier.de/shared/publications/2026_ICCBR_GrewenigEtAl.pdf"},"keyword":["Case-Based Reasoning","CBR Applications","Knowledge Engineering","Domain Experts","Development Support"],"metadata":{"authorlinks":{}},"downloads":4},"bibtype":"inproceedings","biburl":"https://web.wi2.uni-trier.de/publications/WI2Publikationen.bib","dataSources":["MSp3DzP4ToPojqkFy","J3orK6zvpR7d8vDmC"],"keywords":["case-based reasoning","cbr applications","knowledge engineering","domain experts","development support"],"search_terms":["challenges","support","potentials","development","cbr","applications","grewenig","zeyen","schultheis","malburg","bergmann"],"title":"Challenges and Support Potentials in the Development of CBR Applications","year":2026,"downloads":4}