TY - JOUR
T1 - Ontology-Based Resource Modeling and Matching Framework in Avionics Systems
AU - Du, Xiaoyan
AU - Du, Chenglie
AU - Chen, Jinchao
AU - Dong, Chunhui
AU - Liu, Yifan
N1 - Publisher Copyright:
© 2022 Xiaoyan Du et al.
PY - 2022
Y1 - 2022
N2 - In order to realize rapid service-oriented construction of resources and efficient supply-demand matching in avionics systems, an ontology-based resource modeling and matching framework in avionics systems is proposed. First, this paper constructs a hierarchical resource organization framework based on virtual resource pool, covering dispersed and heterogeneous avionics resources and shielding the differences and diversity of resources; next, introduces ontology technology into resource modeling and encapsulates resources as services using the idea of "resource as a service,"facilitating the access and control of resources; in addition, proposes a matching framework which takes into account the energy consumption, in which it firstly tries to find a list of resources which can meet task requirements by a stepwise intelligent matching strategy based on semantic similarity, and the resources in the list will then be sorted according to the energy consumption. Finally, a radar detection case is taken to demonstrate that the proposed model and method are feasible and effective.
AB - In order to realize rapid service-oriented construction of resources and efficient supply-demand matching in avionics systems, an ontology-based resource modeling and matching framework in avionics systems is proposed. First, this paper constructs a hierarchical resource organization framework based on virtual resource pool, covering dispersed and heterogeneous avionics resources and shielding the differences and diversity of resources; next, introduces ontology technology into resource modeling and encapsulates resources as services using the idea of "resource as a service,"facilitating the access and control of resources; in addition, proposes a matching framework which takes into account the energy consumption, in which it firstly tries to find a list of resources which can meet task requirements by a stepwise intelligent matching strategy based on semantic similarity, and the resources in the list will then be sorted according to the energy consumption. Finally, a radar detection case is taken to demonstrate that the proposed model and method are feasible and effective.
UR - http://www.scopus.com/inward/record.url?scp=85138863647&partnerID=8YFLogxK
U2 - 10.1155/2022/8284857
DO - 10.1155/2022/8284857
M3 - 文章
AN - SCOPUS:85138863647
SN - 1687-5966
VL - 2022
JO - International Journal of Aerospace Engineering
JF - International Journal of Aerospace Engineering
M1 - 8284857
ER -