---
_id: '7144'
abstract:
- lang: eng
text: 'The increasing complexity of product configurations demands intelligent systems
that effectively integrate customer requirements, dependencies, and uncertainties.
This paper introduces a unified framework combining Knowledge Graphs (KGs) and
Bayesian Networks (BNs) to enhance the efficiency and adaptability of product
configuration processes. KGs provide a semantic foundation for product information,
ensuring interoperability and explicit relationship modeling. BNs enhance this
through probabilistic reasoning, allowing the system to manage uncertainties and
dynamically generate optimal configurations. The integration of deterministic,
rule-based reasoning from ontologies with the probabilistic nature of BNs automates
suggestions, predicts user preferences, and reduces complexity. This framework
streamlines user interactions through intelligent form pre-filling and contextually
relevant suggestions, even under uncertainty. By employing an ontology-based representation
of BNs, the components fit seamlessly into the KG, creating a cohesive and unified
framework that balances scalability and user-centric design to address modern
configuration challenges. '
author:
- first_name: Stefan
full_name: Berlik, Stefan
id: '237529'
last_name: Berlik
orcid: 0009-0007-3242-4501
orcid_put_code_url: https://api.orcid.org/v2.0/0009-0007-3242-4501/work/226068666
- first_name: Mohammad
full_name: Seidpisheh, Mohammad
id: '258037'
last_name: Seidpisheh
orcid: 0000-0002-2976-9206
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0002-2976-9206/work/226068667
citation:
alphadin: 'Berlik, Stefan ; Seidpisheh, Mohammad: A Unified Framework
for Intelligent Product Configuration Using Knowledge Graphs and Bayesian Networks.
In: Manns, M. (Hrsg.): New Paradigms
for Anticipated Uncertainty. Proceedings of the 10th Changeable, Agile, Reconfigurable
and Virtual Production Conference (CARV 2025) and the 12th World Mass Customization
and Personalization Conference (MCPC 2025), Siegen, Germany, September 2025,
Lecture Notes in Mechanical Engineering. Cham : Springer Nature Switzerland,
2026, S. 131–141'
ama: 'Berlik S, Seidpisheh M. A Unified Framework for Intelligent Product Configuration
Using Knowledge Graphs and Bayesian Networks. In: Manns M, ed. New Paradigms
for Anticipated Uncertainty. Proceedings of the 10th Changeable, Agile, Reconfigurable
and Virtual Production Conference (CARV 2025) and the 12th World Mass Customization
and Personalization Conference (MCPC 2025), Siegen, Germany, September 2025.
Lecture Notes in Mechanical Engineering. Cham: Springer Nature Switzerland; 2026:131-141.
doi:10.1007/978-3-032-16889-4_13'
apa: 'Berlik, S., & Seidpisheh, M. (2026). A Unified Framework for Intelligent
Product Configuration Using Knowledge Graphs and Bayesian Networks. In M. Manns
(Ed.), New Paradigms for Anticipated Uncertainty. Proceedings of the 10th Changeable,
Agile, Reconfigurable and Virtual Production Conference (CARV 2025) and the 12th
World Mass Customization and Personalization Conference (MCPC 2025), Siegen, Germany,
September 2025 (pp. 131–141). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-16889-4_13'
bibtex: '@inproceedings{Berlik_Seidpisheh_2026, place={Cham}, series={Lecture Notes
in Mechanical Engineering}, title={A Unified Framework for Intelligent Product
Configuration Using Knowledge Graphs and Bayesian Networks}, DOI={10.1007/978-3-032-16889-4_13},
booktitle={New Paradigms for Anticipated Uncertainty. Proceedings of the 10th
Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV 2025)
and the 12th World Mass Customization and Personalization Conference (MCPC 2025),
Siegen, Germany, September 2025}, publisher={Springer Nature Switzerland}, author={Berlik,
Stefan and Seidpisheh, Mohammad}, editor={Manns, MartinEditor}, year={2026}, pages={131–141},
collection={Lecture Notes in Mechanical Engineering} }'
chicago: 'Berlik, Stefan, and Mohammad Seidpisheh. “A Unified Framework for Intelligent
Product Configuration Using Knowledge Graphs and Bayesian Networks.” In New
Paradigms for Anticipated Uncertainty. Proceedings of the 10th Changeable, Agile,
Reconfigurable and Virtual Production Conference (CARV 2025) and the 12th World
Mass Customization and Personalization Conference (MCPC 2025), Siegen, Germany,
September 2025, edited by Martin Manns, 131–41. Lecture Notes in Mechanical
Engineering. Cham: Springer Nature Switzerland, 2026. https://doi.org/10.1007/978-3-032-16889-4_13.'
ieee: S. Berlik and M. Seidpisheh, “A Unified Framework for Intelligent Product
Configuration Using Knowledge Graphs and Bayesian Networks,” in New Paradigms
for Anticipated Uncertainty. Proceedings of the 10th Changeable, Agile, Reconfigurable
and Virtual Production Conference (CARV 2025) and the 12th World Mass Customization
and Personalization Conference (MCPC 2025), Siegen, Germany, September 2025,
Siegen, 2026, pp. 131–141.
mla: Berlik, Stefan, and Mohammad Seidpisheh. “A Unified Framework for Intelligent
Product Configuration Using Knowledge Graphs and Bayesian Networks.” New Paradigms
for Anticipated Uncertainty. Proceedings of the 10th Changeable, Agile, Reconfigurable
and Virtual Production Conference (CARV 2025) and the 12th World Mass Customization
and Personalization Conference (MCPC 2025), Siegen, Germany, September 2025,
edited by Martin Manns, Springer Nature Switzerland, 2026, pp. 131–41, doi:10.1007/978-3-032-16889-4_13.
short: 'S. Berlik, M. Seidpisheh, in: M. Manns (Ed.), New Paradigms for Anticipated
Uncertainty. Proceedings of the 10th Changeable, Agile, Reconfigurable and Virtual
Production Conference (CARV 2025) and the 12th World Mass Customization and Personalization
Conference (MCPC 2025), Siegen, Germany, September 2025, Springer Nature Switzerland,
Cham, 2026, pp. 131–141.'
conference:
end_date: 2025-09-12
location: Siegen
name: 10th Changeable, Agile, Reconfigurable and Virtual Production Conference (CARV
2025) and the 12th World Mass Customization and Personalization Conference (MCPC
2025)
start_date: 2025-09-09
date_created: 2026-09-07T17:05:29Z
date_updated: 2026-09-08T08:45:48Z
doi: 10.1007/978-3-032-16889-4_13
editor:
- first_name: Martin
full_name: Manns, Martin
last_name: Manns
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
page: 131-141
place: Cham
publication: New Paradigms for Anticipated Uncertainty. Proceedings of the 10th Changeable,
Agile, Reconfigurable and Virtual Production Conference (CARV 2025) and the 12th
World Mass Customization and Personalization Conference (MCPC 2025), Siegen, Germany,
September 2025
publication_identifier:
eisbn:
- 978-3-032-16889-4
eissn:
- 2195-4364
isbn:
- 978-3-032-16888-7
issn:
- 2195-4356
publication_status: published
publisher: Springer Nature Switzerland
series_title: Lecture Notes in Mechanical Engineering
status: public
title: A Unified Framework for Intelligent Product Configuration Using Knowledge Graphs
and Bayesian Networks
type: conference
user_id: '220548'
year: '2026'
...
---
_id: '598'
author:
- first_name: Tatjana
full_name: Spahiu, Tatjana
last_name: Spahiu
- first_name: Erald
full_name: Piperi, Erald
last_name: Piperi
- first_name: Andrea
full_name: Ehrmann, Andrea
id: '223776'
last_name: Ehrmann
orcid: 0000-0003-0695-3905
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-0695-3905/work/161441415
- first_name: Ermira
full_name: Shehi, Ermira
last_name: Shehi
- first_name: Dudina
full_name: Rama, Dudina
last_name: Rama
citation:
alphadin: 'Spahiu, Tatjana ; Piperi, Erald ; Ehrmann,
Andrea ; Shehi, Ermira ;
Rama, Dudina: 3D Printed Geometries
on Textile Fabric for Garment Production. In: Almeida,
H. A. ; Vasco, J. C. (Hrsg.):
Progress in Digital and Physical Manufacturing - Proceedings of ProDPM’19,
Lecture Notes in Mechanical Engineering : Springer, 2020, S. 271–276'
ama: 'Spahiu T, Piperi E, Ehrmann A, Shehi E, Rama D. 3D Printed Geometries on Textile
Fabric for Garment Production. In: Almeida HA, Vasco JC, eds. Progress in Digital
and Physical Manufacturing - Proceedings of ProDPM’19. Lecture Notes in Mechanical
Engineering. Springer; 2020:271-276. doi:10.1007/978-3-030-29041-2_34'
apa: 'Spahiu, T., Piperi, E., Ehrmann, A., Shehi, E., & Rama, D. (2020). 3D
Printed Geometries on Textile Fabric for Garment Production. In H. A. Almeida
& J. C. Vasco (Eds.), Progress in Digital and Physical Manufacturing -
Proceedings of ProDPM’19 (pp. 271–276). Leiria, Portugal: Springer. https://doi.org/10.1007/978-3-030-29041-2_34'
bibtex: '@inproceedings{Spahiu_Piperi_Ehrmann_Shehi_Rama_2020, series={Lecture Notes
in Mechanical Engineering}, title={3D Printed Geometries on Textile Fabric for
Garment Production}, DOI={10.1007/978-3-030-29041-2_34},
booktitle={Progress in Digital and Physical Manufacturing - Proceedings of ProDPM’19},
publisher={Springer}, author={Spahiu, Tatjana and Piperi, Erald and Ehrmann, Andrea
and Shehi, Ermira and Rama, Dudina}, editor={Almeida, Henrique A. and Vasco,
Joel C. Editors}, year={2020}, pages={271–276}, collection={Lecture Notes in Mechanical
Engineering} }'
chicago: Spahiu, Tatjana, Erald Piperi, Andrea Ehrmann, Ermira Shehi, and Dudina
Rama. “3D Printed Geometries on Textile Fabric for Garment Production.” In Progress
in Digital and Physical Manufacturing - Proceedings of ProDPM’19, edited by
Henrique A. Almeida and Joel C. Vasco, 271–76. Lecture Notes in Mechanical Engineering.
Springer, 2020. https://doi.org/10.1007/978-3-030-29041-2_34.
ieee: T. Spahiu, E. Piperi, A. Ehrmann, E. Shehi, and D. Rama, “3D Printed Geometries
on Textile Fabric for Garment Production,” in Progress in Digital and Physical
Manufacturing - Proceedings of ProDPM’19, Leiria, Portugal, 2020, pp. 271–276.
mla: Spahiu, Tatjana, et al. “3D Printed Geometries on Textile Fabric for Garment
Production.” Progress in Digital and Physical Manufacturing - Proceedings of
ProDPM’19, edited by Henrique A. Almeida and Joel C. Vasco, Springer, 2020,
pp. 271–76, doi:10.1007/978-3-030-29041-2_34.
short: 'T. Spahiu, E. Piperi, A. Ehrmann, E. Shehi, D. Rama, in: H.A. Almeida, J.C.
Vasco (Eds.), Progress in Digital and Physical Manufacturing - Proceedings of
ProDPM’19, Springer, 2020, pp. 271–276.'
conference:
end_date: 2019-10-04
location: Leiria, Portugal
name: Progress in Digital and Physical Manufacturing. ProDPM 2019
start_date: 2019-10-02
date_created: 2019-10-06T09:14:03Z
date_updated: 2026-03-17T15:29:24Z
department:
- _id: '103'
doi: 10.1007/978-3-030-29041-2_34
editor:
- first_name: 'Henrique A. '
full_name: 'Almeida, Henrique A. '
last_name: Almeida
- first_name: 'Joel C. '
full_name: 'Vasco, Joel C. '
last_name: Vasco
keyword:
- 3D printing
- Textile fabric
- Garments production
language:
- iso: eng
page: 271-276
publication: Progress in Digital and Physical Manufacturing - Proceedings of ProDPM'19
publication_identifier:
isbn:
- '9783030290405'
- '9783030290412'
issn:
- 2195-4356
- 2195-4364
publication_status: published
publisher: Springer
quality_controlled: '1'
series_title: Lecture Notes in Mechanical Engineering
status: public
title: 3D Printed Geometries on Textile Fabric for Garment Production
type: conference
user_id: '220548'
year: '2020'
...
---
_id: '2727'
author:
- first_name: Sönke
full_name: Lück, Sönke
id: '71872'
last_name: Lück
orcid: 0000-0003-1861-1304
orcid_put_code_url: https://api.orcid.org/v2.0/0000-0003-1861-1304/work/156478852
- first_name: Rolf
full_name: Naumann, Rolf
id: '202282'
last_name: Naumann
orcid: 0009-0004-9338-7343
citation:
alphadin: 'Lück, Sönke ; Naumann,
Rolf: Scenario Substructure Method (SSM) for Simulation of Long Trains.
In: Klomp, M. ; Bruzelius,
F. ; Nielsen, J. ; Hillemyr, A. (Hrsg.): Advances in Dynamics
of Vehicles on Roads and Tracks. Proceedings of the 26th Symposium of the International
Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg,
Sweden, Lecture Notes in Mechanical Engineering. Cham : Springer International
Publishing, 2020, S. 292–302'
ama: 'Lück S, Naumann R. Scenario Substructure Method (SSM) for Simulation of Long
Trains. In: Klomp M, Bruzelius F, Nielsen J, Hillemyr A, eds. Advances in Dynamics
of Vehicles on Roads and Tracks. Proceedings of the 26th Symposium of the International
Association of Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg,
Sweden. Lecture Notes in Mechanical Engineering. Cham: Springer International
Publishing; 2020:292-302. doi:10.1007/978-3-030-38077-9_35'
apa: 'Lück, S., & Naumann, R. (2020). Scenario Substructure Method (SSM) for
Simulation of Long Trains. In M. Klomp, F. Bruzelius, J. Nielsen, & A. Hillemyr
(Eds.), Advances in Dynamics of Vehicles on Roads and Tracks. Proceedings of
the 26th Symposium of the International Association of Vehicle System Dynamics,
IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden (pp. 292–302). Cham: Springer
International Publishing. https://doi.org/10.1007/978-3-030-38077-9_35'
bibtex: '@inbook{Lück_Naumann_2020, place={Cham}, series={Lecture Notes in Mechanical
Engineering}, title={Scenario Substructure Method (SSM) for Simulation of Long
Trains}, DOI={10.1007/978-3-030-38077-9_35},
booktitle={Advances in Dynamics of Vehicles on Roads and Tracks. Proceedings of
the 26th Symposium of the International Association of Vehicle System Dynamics,
IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden}, publisher={Springer International
Publishing}, author={Lück, Sönke and Naumann, Rolf}, editor={Klomp, Matthijs and
Bruzelius, Fredrik and Nielsen, Jens and Hillemyr, AngelaEditors}, year={2020},
pages={292–302}, collection={Lecture Notes in Mechanical Engineering} }'
chicago: 'Lück, Sönke, and Rolf Naumann. “Scenario Substructure Method (SSM) for
Simulation of Long Trains.” In Advances in Dynamics of Vehicles on Roads and
Tracks. Proceedings of the 26th Symposium of the International Association of
Vehicle System Dynamics, IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden,
edited by Matthijs Klomp, Fredrik Bruzelius, Jens Nielsen, and Angela Hillemyr,
292–302. Lecture Notes in Mechanical Engineering. Cham: Springer International
Publishing, 2020. https://doi.org/10.1007/978-3-030-38077-9_35.'
ieee: 'S. Lück and R. Naumann, “Scenario Substructure Method (SSM) for Simulation
of Long Trains,” in Advances in Dynamics of Vehicles on Roads and Tracks. Proceedings
of the 26th Symposium of the International Association of Vehicle System Dynamics,
IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden, M. Klomp, F. Bruzelius,
J. Nielsen, and A. Hillemyr, Eds. Cham: Springer International Publishing, 2020,
pp. 292–302.'
mla: Lück, Sönke, and Rolf Naumann. “Scenario Substructure Method (SSM) for Simulation
of Long Trains.” Advances in Dynamics of Vehicles on Roads and Tracks. Proceedings
of the 26th Symposium of the International Association of Vehicle System Dynamics,
IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden, edited by Matthijs Klomp
et al., Springer International Publishing, 2020, pp. 292–302, doi:10.1007/978-3-030-38077-9_35.
short: 'S. Lück, R. Naumann, in: M. Klomp, F. Bruzelius, J. Nielsen, A. Hillemyr
(Eds.), Advances in Dynamics of Vehicles on Roads and Tracks. Proceedings of the
26th Symposium of the International Association of Vehicle System Dynamics, IAVSD
2019, August 12-16, 2019, Gothenburg, Sweden, Springer International Publishing,
Cham, 2020, pp. 292–302.'
conference:
end_date: 2019-08-16
location: Göteborg
name: 'The IAVSD International Symposium on Dynamics of Vehicles on Roads and Tracks '
start_date: 2019-08-12
date_created: 2023-04-06T06:38:45Z
date_updated: 2026-03-17T15:28:36Z
department:
- _id: '103'
doi: 10.1007/978-3-030-38077-9_35
editor:
- first_name: Matthijs
full_name: Klomp, Matthijs
last_name: Klomp
- first_name: Fredrik
full_name: Bruzelius, Fredrik
last_name: Bruzelius
- first_name: Jens
full_name: Nielsen, Jens
last_name: Nielsen
- first_name: Angela
full_name: Hillemyr, Angela
last_name: Hillemyr
keyword:
- Multibody Simulation
- Railway Accident
- Complex System Simulation
- Vehicle Dynamics
- Braking
language:
- iso: eng
page: 292-302
place: Cham
publication: Advances in Dynamics of Vehicles on Roads and Tracks. Proceedings of
the 26th Symposium of the International Association of Vehicle System Dynamics,
IAVSD 2019, August 12-16, 2019, Gothenburg, Sweden
publication_identifier:
eisbn:
- 978-3-030-38077-9
eissn:
- 2195-4364
isbn:
- 978-3-030-38076-2
issn:
- 2195-4356
publication_status: published
publisher: Springer International Publishing
quality_controlled: '1'
series_title: Lecture Notes in Mechanical Engineering
status: public
title: Scenario Substructure Method (SSM) for Simulation of Long Trains
type: book_chapter
user_id: '237837'
year: '2020'
...