Flexible Web services integration: a novel personalised social approach

Metrouh, Abdelmalek; Mokhati, Farid

doi:10.1080/0952813x.2018.1430862

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…Web services have become an important dilemma in creating web applications. These are intended for access to data, heterogeneous content and to interoperate information systems [4,5]. Unfortunately, the absence of the semantics of the basic technologies of web services generates a handicap; because it does not allow in any case the automation of various tasks related to web services; such as execution and discovery.…”

Section: Introductionmentioning

confidence: 99%

New Mobile Cloud Computing Approach Based Multi-Agent System For OWL-S Services

Hamida

Kazar

2022

JERA

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Using mobile cloud technology, local application resources can move into the cloud computing resource pool in the form of web services. The web services discovery and execution processes in the mobile environment are considered as a very difficult challenge. Moreover, these processes may degrade network performance due to the mobile environment. To overcome these issues, we present a new approach for better discovery, selection, execution, and negotiation of OWL-S services by utilizing a multi-agent system in mobile cloud computing. By using the Multi-Agent System (mobile agent and fixed agent), these processes are made with the minimum utilization of resources because the mobile agents migrate to targeted services and interact locally with them. Moreover, the use of mobile agent overcomes the problems related to the mobile environment and wireless devices. Besides, it automatizes the discovery, selection, execution, and negotiation of OWL-S services. The obtained results demonstrate the effectiveness of the proposed system. Moreover, we conclude that the mobile agent is a good solution to eliminate the problem of wireless devices and the mobile environment, and reduced the execution time of service discovery and invocation. Also, the finding indicates that cloud computing is a good solution to eliminate the problem of storage and execution in mobile devices. Besides, the context-aware provides a more accurate service selection.

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Section: Introductionmentioning

confidence: 99%

New Mobile Cloud Computing Approach Based Multi-Agent System For OWL-S Services

Hamida

Kazar

2022

JERA

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Social Internet of Things: a novel selection approach for dynamic resources substitution

Metrouh

2021

Evol. Intel.

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Multi-Intentional Description of Learning Semantic Web Services

Mahmoud

Azaiez

Bettahar

2020

International Journal on Semantic Web and Information Systems

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E-learning systems use web service technology to develop distributed applications. Therefore, with the tremendous growth in the number of web services, finding the proper services while ensuring the independence and reusability of the learning objects in a different context has become an important issue and has attracted much interest. This article first proposes an extension of the Ontology Web Language for Services Learning Object (OWLS-LO) model to describe a multi-intentional learning object. This description ensures accessibility to learning objects. This research then presents a service discovery mechanism that uses the new semantic model for service matching. Experimental results show that the proposed semantic discovery mechanism using multi-intention model performs better than discovery mechanism based on single intention.

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Flexible Web services integration: a novel personalised social approach

Cited by 3 publications

References 6 publications

New Mobile Cloud Computing Approach Based Multi-Agent System For OWL-S Services

New Mobile Cloud Computing Approach Based Multi-Agent System For OWL-S Services

Social Internet of Things: a novel selection approach for dynamic resources substitution

Multi-Intentional Description of Learning Semantic Web Services

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