SQenloT: Semantic query engine for industrial Internet-of-Things gateways

Kaed, Charbel El; Khan, Imran; Hossayni, Hicham; Nappey, Philippé

doi:10.1109/wf-iot.2016.7845468

Cited by 11 publications

(13 citation statements)

References 11 publications

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“…The logical operators AND and OR can be combined to specify powerful conditions in the rules. By relying on SQenIoT, users do not need to know the name of the resource and capability they are interested in, instead they can use higher-level concepts like location, device type, and physical quantity as described in [9].…”

Section: This Paper Has Been Accepted For Publication In Forthcoming mentioning

confidence: 99%

SRE: Semantic Rules Engine for the Industrial Internet-Of-Things Gateways

Kaed¹,

Khan²,

Berg³

et al. 2018

IEEE Trans. Ind. Inf.

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The Advent of the Internet-of-Things (IoT) paradigm has brought opportunities to solve many real-world problems. Energy management, for example has attracted huge interest from academia, industries, governments and regulatory bodies. It involves collecting energy usage data, analyzing it, and optimizing the energy consumption by applying control strategies. However, in industrial environments, performing such optimization is not trivial. The changes in business rules, process control, and customer requirements make it much more challenging. In this paper, a Semantic Rules Engine (SRE) for industrial gateways is presented that allows implementing dynamic and flexible rule-based control strategies. It is simple, expressive, and allows managing rules on-the-fly without causing any service interruption. Additionally, it can handle semantic queries and provide results by inferring additional knowledge from previously defined concepts in ontologies. SRE has been validated and tested on different hardware platforms and in commercial products. Performance evaluations are also presented to validate its conformance to the customer requirements.

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Section: This Paper Has Been Accepted For Publication In Forthcoming mentioning

confidence: 99%

SRE: Semantic Rules Engine for the Industrial Internet-Of-Things Gateways

Kaed¹,

Khan²,

Berg³

et al. 2018

IEEE Trans. Ind. Inf.

Self Cite

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“…Different formalisms are available to represent logical rules, such as SWRL 4 and SPIN 5 . SHACL 6 and its extension 7 are the latest W3C standard for rules representation. SHACL aims to represent constraints on an RDF graph, called "shapes", as well as deduction rules.…”

Section: Related Workmentioning

confidence: 99%

“…However, ad-hoc mechanisms enable rule update at runtime. Rules are combined to a semantic engine proposed in [6] so that rules are expressed based on enriched data.…”

Section: Related Workmentioning

confidence: 99%

Towards Cooperative Semantic Computing: A Distributed Reasoning Approach for Fog-Enabled SWoT

Seydoux

Drira

Hernandez

et al. 2018

Lecture Notes in Computer Science

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The development of the Semantic Web of Things (SWoT) is challenged by the nature of IoT architectures where constrained devices are connected to powerful cloud servers in charge of processing remotely collected data. Such an architectural pattern introduces multiple bottlenecks constituting a hurdle for scalability, and degrades the QoS parameters such as response time. This hinders the development of a number of critical and time-sensitive applications. As an alternative to this Cloudcentric architecture, Fog-enabled architectures can be considered to take advantage of the myriad of devices that can be used for partially processing data circulating between the local sensors and the remote Cloud servers. The approach developed in this paper is a contribution in this direction: it aims to enable rule-based processing to be deployed closer to data sources, in order to foster the implementation of semantic-enabled applications. For this purpose, we define a dynamic deployment technique for rule-based semantic reasoning on Fog nodes. This technique has been evaluated according to a strategy improving information delivery delay to applications. The implementation in Java based on SHACL rules has been executed on a platform containing a server, a laptop and a Raspberry Pi, and is evaluated on a smart building use case where both distribution and scalability have been considered.

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“…Designing of efficient systems on a chip for providing energy efficient connectivity can also provide sustainable IoT [1]. El Kaed et al [4] developed a semantic query system for industrial IoT. The authors utilized the concept of semantic tagging of products for making a sustainable IoT for industrial applications.…”

Section: Sustainable Iotmentioning

confidence: 99%

“…With a demand of efficient data management, continuous connectivity, security, and context-aware service provisioning, it becomes important to provide an architecture which can maintain connections between nodes [4,5]. Most of the authors have defined sustainability according to the domain and area of application such as IoT for water management [6].…”

Section: Introductionmentioning

confidence: 99%

SACA: Self-Aware Communication Architecture for IoT Using Mobile Fog Servers

Sharma

Lim

Kim

et al. 2017

Mobile Information Systems

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Internet of things (IoT) aims at bringing together large business enterprise solutions and architectures for handling the huge amount of data generated by millions of devices. For this aim, IoT is necessary to connect various devices and provide a common platform for storage and retrieval of information without fail. However, the success of IoT depends on the novelty of network and its capability in sustaining the increasing demand by users. In this paper, a self-aware communication architecture (SACA) is proposed for sustainable networking over IoT devices. The proposed approach employs the concept of mobile fog servers which make relay using the train and unmanned aerial vehicle (UAV) networks. The problem is presented based on Wald’s maximum model, which is resolved by the application of a distributed node management (DNM) system and state dependency formulations. The proposed approach is capable of providing prolonged connectivity by increasing the network reliability and sustainability even in the case of failures. The effectiveness of the proposed approach is demonstrated through numerical and network simulations in terms of significant gains attained with lesser delay and fewer packet losses. The proposed approach is also evaluated against Sybil, wormhole, and DDoS attacks for analyzing its sustainability and probability of connectivity in unfavorable conditions.

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SQenloT: Semantic query engine for industrial Internet-of-Things gateways

Cited by 11 publications

References 11 publications

SRE: Semantic Rules Engine for the Industrial Internet-Of-Things Gateways

SRE: Semantic Rules Engine for the Industrial Internet-Of-Things Gateways

Towards Cooperative Semantic Computing: A Distributed Reasoning Approach for Fog-Enabled SWoT

SACA: Self-Aware Communication Architecture for IoT Using Mobile Fog Servers

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