ToCo: An Ontology for Representing Hybrid Telecommunication Networks

Zhou, Qianru; Gray, Alasdair J. G.; McLaughlin, Stephen

doi:10.1007/978-3-030-21348-0_33

Cited by 10 publications

(3 citation statements)

References 20 publications

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“…Prior to modelling an appropriate ontology, previous works regarding semantic modelling in the field of computer networks have been revised. One of them, ToCo, 18 is an ontology proposed to represent hybrid telecommunication networks within the framework of the TOUCAN project (Toward Ultimate Convergence of All Networks), describing the physical infrastructure, quality of channel, services, and users in heterogeneous telecommunication networks that span multiple technology domains. A knowledge graph using provenance-aware formalisms for cyber-situational awareness 19 or modeled an ontology-based cybersecurity framework for the Internet of Things has been presented in Mozzaquatro et al 20 In addition, an OWL-based ontology of information security which modeled assets, threats, vulnerabilities and countermeasures and their relations was also put forward, 21 and ontologies that provided a common, technology independent syntax and semantics for complex communication network concepts were also created.…”

Section: Methodsmentioning

confidence: 99%

Towards the Representation of Network Assets in Health Care Environments Using Ontologies

et al. 2021

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Objectives The aim of the study is to design an ontology model for the representation of assets and its features in distributed health care environments. Allow the interchange of information about these assets through the use of specific vocabularies based on the use of ontologies. Methods Ontologies are a formal way to represent knowledge by means of triples composed of a subject, a predicate, and an object. Given the sensitivity of network assets in health care institutions, this work by using an ontology-based representation of information complies with the FAIR principles. Federated queries to the ontology systems, allow users to obtain data from multiple sources (i.e., several hospitals belonging to the same public body). Therefore, this representation makes it possible for network administrators in health care institutions to have a clear understanding of possible threats that may emerge in the network. Results As a result of this work, the “Software Defined Networking Description Language—CUREX Asset Discovery Tool Ontology” (SDNDL-CAO) has been developed. This ontology uses the main concepts in network assets to represent the knowledge extracted from the distributed health care environments: interface, device, port, service, etc. Conclusion The developed SDNDL-CAO ontology allows to represent the aforementioned knowledge about the distributed health care environments. Network administrators of these institutions will benefit as they will be able to monitor emerging threats in real-time, something critical when managing personal medical information.

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Section: Methodsmentioning

confidence: 99%

Towards the Representation of Network Assets in Health Care Environments Using Ontologies

et al. 2021

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“…The first phase for building basic models implies establishing a graph structure with multiple interrelated metamodels in a common graph-enabled modelling framework able to support some flexibility and uncertainty. In 6G-TWIN, it will be based on the different references and standards (e.g., ETSI, 3GPP TS 23.501, 5GPPP), ontologies [23] and other metamodels available in the sector (e.g., OASIS TOSCA).…”

Section: B Layer 2: Digital Network -Data and Modelsmentioning

confidence: 99%

Integrating Network Digital Twinning into Future AI-based 6G Systems: The 6G-TWIN Vision

Faye,

Camelo,

Sottet

et al. 2024

2024 Joint European Conference on Networks and Communications &Amp;amp; 6G Summit (EuCNC/6G Summit)

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As we move closer to the 6G era, the complexity and dynamism of communication networks is set to increase significantly. This requires more sophisticated, automated management solutions, while retaining human oversight. To meet these new challenges, it is essential to build new architectures that provide a secure environment for closed-loop network automation and to enable optimal resource planning, management and control. In this context, this paper presents the vision of the European 6G-TWIN consortium, which focuses on the creation of a cyberphysical continuum that seamlessly merges the physical world with its digital representation, through the concept of Network Digital Twin (NDT) and its integration into an Artificial Intelligence (AI)-based 6G architecture. This initiative aims to bridge the gap between the increasing complexity of networks and their operational performance, potentially improving real-time user experiences across multiple domains. This paper specifically highlights the associated key challenges and the approach taken by 6G-TWIN to address them.

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“…[13] proposes a network description language specialised in describing network topologies for hybrid networks. The ToCo ontology [14] can specify the physical infrastructure as well as the quality of channel, services and users in heterogeneous, multi-domain telecommunication networks. The ontology in [15] enables to specify telecommunication services, to easily discover them plus address the semantic interoperability problem.…”

Section: Ontologies and Metadata For Cloud Application And Services Descriptionmentioning

confidence: 99%

Data and Cloud Polymorphic Application Modelling in Multi-clouds and Fog Environments

Verginadis

Kritikos

Patiniotakis

2021

Advanced Information Systems Engineering

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Multi-cloud management prevents vendor lock-in as well as improves the provisioning of cloud applications. However, the optimal deployment of such applications is still impossible, not only due to the dynamicity of the cloud and hybrid environments that host these applications but also due to the use of potentially unsuitable forms or configurations of application components. As such, the real cloud application optimisation can only be achieved by considering all possible component forms and selecting the best one, based on both application requirements and the current context. This gives rise to the era of polymorphic applications which can change form at runtime based on their context. A major prerequisite for the management of such applications is their proper modelling. Therefore, this paper presents extensions on two well-integrated cloud modelling solutions to support the complete specification of polymorphic applications and it presents an illustrative example of their use.

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ToCo: An Ontology for Representing Hybrid Telecommunication Networks

Cited by 10 publications

References 20 publications

Towards the Representation of Network Assets in Health Care Environments Using Ontologies

Towards the Representation of Network Assets in Health Care Environments Using Ontologies

Integrating Network Digital Twinning into Future AI-based 6G Systems: The 6G-TWIN Vision

Data and Cloud Polymorphic Application Modelling in Multi-clouds and Fog Environments

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