Ontology-based information modelling in the industrial data space

Pullmann, Jaroslav; Petersen, Niklas; Mader, Christian; Lohmann, Steffen; Kemény, Zsolt

doi:10.1109/etfa.2017.8247688

Cited by 16 publications

(9 citation statements)

References 2 publications

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“…However, as the IDS encourages interoperability and extensible ecosystems, it encourages the use of RDF and domain ontologies for Representations (cf. [22] for a sample scenario using a taxonomy of steel grades). In this context, it is desirable to include information about the domain-specific semantics and, similarly, the structure of content into the metadata of a Resource or some of its Representations -for example, to be able to retrieve more relevant data resources.…”

Section: Expressing Data Structure and Domain-specific Semanticsmentioning

confidence: 99%

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The International Data Spaces Information Model – An Ontology for Sovereign Exchange of Digital Content

Bader

Pullmann²,

Mader³

et al. 2020

Lecture Notes in Computer Science

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The International Data Spaces initiative (IDS) is building an ecosystem to facilitate data exchange in a secure, trusted, and semantically interoperable way. It aims at providing a basis for smart services and cross-company business processes, while at the same time guaranteeing data owners' sovereignty over their content. The IDS Information Model is an RDFS/OWL ontology defining the fundamental concepts for describing actors in a data space, their interactions, the resources exchanged by them, and data usage restrictions. After introducing the conceptual model and design of the ontology, we explain its implementation on top of standard ontologies as well as the process for its continuous evolution and quality assurance involving a community driven by industry and research organisations. We demonstrate tools that support generation, validation, and usage of instances of the ontology with the focus on data control and protection in a federated ecosystem.

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Section: Expressing Data Structure and Domain-specific Semanticsmentioning

confidence: 99%

“…This paper presents version 4.0.0 of the IDS IM. Recent advances over earlier publications ( [22,18]) especially include the elaborated coverage of enforceable permissions and restrictions as the foundation of data usage policies, a significantly enhanced supply of interaction messages, as well as improved tool support for instance creation and validation.…”

mentioning

confidence: 99%

The International Data Spaces Information Model – An Ontology for Sovereign Exchange of Digital Content

Bader

Pullmann²,

Mader³

et al. 2020

Lecture Notes in Computer Science

Self Cite

View full text Add to dashboard Cite

show abstract

“…Since the IDS architecture does not define the interfaces to be used nor provide details for implementation, the interaction between the academia and industry provides relevant information through implementation cases. For example, some research has provided relevant information about components implementation [27], security implementation [28], and the ontology-based information model [29]. On the other hand, the industry has implemented the IDS architecture successfully in logistics cases: to optimize the loading and unloading times of trucks [30] and to predict railway-tracks maintenance [31].…”

Section: Related Work and Motivationmentioning

confidence: 99%

Seaport Data Space for Improving Logistic Maritime Operations

et al. 2020

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The maritime industry expects several improvements to efficiently manage the operation processes by introducing Industry 4.0 enabling technologies. Seaports are the most critical point in the maritime logistics chain because of its multimodal and complex nature. Consequently, coordinated communication among any seaport stakeholders is vital to improving their operations. Currently, Electronic Data Interchange (EDI) and Port Community Systems (PCS), as primary enablers of digital seaports, have demonstrated their limitations to interchange information on time, accurately, efficiently, and securely, causing high operation costs, low resource management, and low performance. For these reasons, this contribution presents the Seaport Data Space (SDS) based on the Industrial Data Space (IDS) reference architecture model to enable a secure data sharing space and promote an intelligent transport multimodal terminal. Each seaport stakeholders implements the IDS connector to take part in the SDS and share their data. On top of SDS, a Big Data architecture is integrated to manage the massive data shared in the SDS and extract useful information to improve the decision-making. The architecture has been evaluated by enabling a port authority and a container terminal to share its data with a shipping company. As a result, several Key Performance Indicators (KPIs) have been developed by using the Big Data architecture functionalities. The KPIs have been shown in a dashboard to allow easy interpretability of results for planning vessel operations. The SDS environment may improve the communication between stakeholders by reducing the transaction costs, enhancing the quality of information, and exhibiting effectiveness. INDEX TERMS Analytics, big data, industry 4.0, industrial data spaces, Internet of Things, maritime, seaport, intelligent transport.

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“…Standards as OAuth 2.0 [ 2 ] or XACML [ 10 ] combined with these paradigms allow creation of a fine-grained access control model over IoT Publish/Subscribe architectures [ 6 , 7 , 8 ]. Moreover, the International Data Spaces created an IIoT standard [ 11 , 12 ] in which they define a vocabulary and data model—implemented with the NGSI FIWARE standard [ 13 ]—that boost and eases the definition of fine-grained access control policies with ABAC or UCON [ 8 , 14 ].…”

Section: Related Workmentioning

confidence: 99%

Evaluation of an IoT Application-Scoped Access Control Model over a Publish/Subscribe Architecture Based on FIWARE

García-Pozo

Alonso

Salvachúa

2020

Sensors

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The Internet of Things (IoT) brings plenty of opportunities to enhance society’s activities, from improving a factory’s production chain to facilitating people’s household tasks. However, it has also brought new security breaches, compromising privacy and authenticity. IoT devices are vulnerable to being accessed from the Internet; they lack sufficient resources to face cyber-attack threats. Keeping a balance between access control and the devices’ resource consumption has become one of the highest priorities of IoT research. In this paper, we evaluate an access control architecture based on the IAACaaS (IoT application-Scoped Access Control as a Service) model with the aim of protecting IoT devices that communicate using the Publish/Subscribe pattern. IAACaaS is based on the OAuth 2.0 authorization framework, which externalizes the identity and access control infrastructure of applications. In our evaluation, we implement the model using FIWARE Generic Enablers and deploy them for a smart buildings use case with a wireless communication. Then, we compare the performance of two different approaches in the data-sharing between sensors and the Publish/Subscribe broker, using Constrained Application Protocol (CoAP) and Hypertext Transfer Protocol (HTTP) protocols. We conclude that the integration of Publish/Subscribe IoT deployments with IAACaaS adds an extra layer of security and access control without compromising the system’s performance.

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Ontology-based information modelling in the industrial data space

Cited by 16 publications

References 2 publications

The International Data Spaces Information Model – An Ontology for Sovereign Exchange of Digital Content

The International Data Spaces Information Model – An Ontology for Sovereign Exchange of Digital Content

Seaport Data Space for Improving Logistic Maritime Operations

Evaluation of an IoT Application-Scoped Access Control Model over a Publish/Subscribe Architecture Based on FIWARE

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