Ontological view based semantic transformation for distributed systems

Wang, Ying Daisy; Ghenniwa, Hamada; Shen, Weiming

doi:10.1109/icsmc.2009.5346661

Cited by 2 publications

(2 citation statements)

References 12 publications

(9 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, in a smart city context, the proliferation of smart parking solutions parking leads to integration problems due to their heterogeneity. Existing parking systems can face coordination and interaction challenges in an open smart city ecosystem with diverse stakeholders and services [7]. While cloud-based parking management has been proposed to address the heterogeneity problem [8]- [10], it may not be ideal for situations involving multiple stakeholders with conflicting interests, such as in the case of parking spaces, where each stakeholder aims to maximize their revenue from selling parking spots [11].…”

Section: Introductionmentioning

confidence: 99%

SCOPE: Smart Cooperative Parking Environment

Alarbi,

Jaradat,

Lutfiyya

et al. 2023

IEEE Access

View full text Add to dashboard Cite

The shortage of parking spaces in metropolitan cities has become a significant challenge, leading to wasted time, money, traffic congestion, and environmental pollution. While smart parking solutions offer potential relief, existing systems often struggle with integration and coordination issues in the complex smart city ecosystem. In response, this paper introduces SCOPE, a cooperative distributed system architecture and interaction model that facilitates the management of parking spaces in a smart city through coordination and autonomous interactions. The system leverages an overlay network, a hierarchical and spatial structure of coordination nodes, and an integration layer to organize traffic and communication among facilities. By incorporating a sharing economy business model, SCOPE maximizes parking resource usage, merges public and private parking resources, and provides economic opportunities for private parking owners. The evaluation results demonstrate that SCOPE significantly reduces search time, traffic, cost, and air pollution while improving driver satisfaction. This novel approach presents a comprehensive solution to the challenges of smart parking management in metropolitan cities, paving the way for more efficient, sustainable, and economically viable urban environments.

show abstract

Section: Introductionmentioning

confidence: 99%

SCOPE: Smart Cooperative Parking Environment

Alarbi,

Jaradat,

Lutfiyya

et al. 2023

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The rules establish what type of new information is to be added to the abstraction and how the information will be organized to create the system model. A similar but formal definition of ontological transformation is offered in [9]. The abstraction can also be a graphical model in an object oriented language; with the interpretation of the abstraction being a matrix.…”

Section: Introductionmentioning

confidence: 99%

Formal methods for a system of systems analysis framework applied to traffic management

Dickerson

Roslan

2016

2016 11th System of Systems Engineering Conference (SoSE)

View full text Add to dashboard Cite

Ontological view based semantic transformation for distributed systems

Cited by 2 publications

References 12 publications

SCOPE: Smart Cooperative Parking Environment

SCOPE: Smart Cooperative Parking Environment

Formal methods for a system of systems analysis framework applied to traffic management

Contact Info

Product

Resources

About