TY - GEN
T1 - Semantic Modeling Supports the Integration of Concept-Decision-Knowledge
AU - Jin, Yili
AU - Lu, Jinzhi
AU - Wang, Guoxin
AU - Wang, Ru
AU - Dimitris, Kiritsis
N1 - Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.
PY - 2021
Y1 - 2021
N2 - The semantics of product design enables to visualize the function of the product and promote communications between the products and the designers. However, the existing theories and methods of product design are lack research on the integration of modeling concepts, domain-specific knowledge, and decision-making. For this reason, this paper proposes a C-D-K theory which is supported by a semantic modeling approach. Firstly, KARMA modeling language, which is a semantics modeling approach, is used to support the formalization of concept space (C) and decision space (D), in which space C is expanded based on the RFLP design framework, and space D is based on PEI-X decision workflow to realize decision problem modeling. Then based on the Open service lifecycle collaboration (OSLC) specification, domain-specific knowledge is represented based on the unified expression of resources in the knowledge space (K), which is used to integrate knowledge to semantics models constructed by KARMA language. Finally, the feasibility and effectiveness of the proposed semantic modeling approach are verified by the case of an unmanned detection vehicle design. From the result, we find the semantics modeling approach enables to integrate semantic models and knowledge based on the C-D-K theory.
AB - The semantics of product design enables to visualize the function of the product and promote communications between the products and the designers. However, the existing theories and methods of product design are lack research on the integration of modeling concepts, domain-specific knowledge, and decision-making. For this reason, this paper proposes a C-D-K theory which is supported by a semantic modeling approach. Firstly, KARMA modeling language, which is a semantics modeling approach, is used to support the formalization of concept space (C) and decision space (D), in which space C is expanded based on the RFLP design framework, and space D is based on PEI-X decision workflow to realize decision problem modeling. Then based on the Open service lifecycle collaboration (OSLC) specification, domain-specific knowledge is represented based on the unified expression of resources in the knowledge space (K), which is used to integrate knowledge to semantics models constructed by KARMA language. Finally, the feasibility and effectiveness of the proposed semantic modeling approach are verified by the case of an unmanned detection vehicle design. From the result, we find the semantics modeling approach enables to integrate semantic models and knowledge based on the C-D-K theory.
KW - C-D-K theory
KW - KARMA
KW - MBSE
KW - Semantic modeling
UR - https://www.scopus.com/pages/publications/85115246405
U2 - 10.1007/978-3-030-85910-7_22
DO - 10.1007/978-3-030-85910-7_22
M3 - Conference contribution
AN - SCOPUS:85115246405
SN - 9783030859091
T3 - IFIP Advances in Information and Communication Technology
SP - 208
EP - 217
BT - Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems - IFIP WG 5.7 International Conference, APMS 2021, Proceedings
A2 - Dolgui, Alexandre
A2 - Bernard, Alain
A2 - Lemoine, David
A2 - von Cieminski, Gregor
A2 - Romero, David
PB - Springer Science and Business Media Deutschland GmbH
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2021
Y2 - 5 September 2021 through 9 September 2021
ER -