Context-based interoperability of semantic web services

Mecheri, Karima; Boufaïda, Mahmoud; Meslati, Djamel; Meslati, Labiba Souici

doi:10.1504/ijmso.2019.099835

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2023

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Cited by 3 publications

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“…Furthermore, adaptation becomes inevitable in case of a crucial mismatch between supply and demand [8]. In pervasive computing, adaptability is considered as one of the significant functionalities [9][10][11][12][13]. For instance, some application requires significant resources or services in the environment.…”

Section: Literature Reviewmentioning

confidence: 99%

Interactive Middleware Services for Heterogeneous Systems

Raghupathy¹,

Khalaf²,

Romero³

et al. 2022

Computer Systems Science and Engineering

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Section: Literature Reviewmentioning

confidence: 99%

Interactive Middleware Services for Heterogeneous Systems

Raghupathy¹,

Khalaf²,

Romero³

et al. 2022

Computer Systems Science and Engineering

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A Framework for implementing the interoperability of semantic web services: Case study

Mecheri

Boufaïda²,

Souici-Meslati

et al. 2019

2019 International Conference on Theoretical and Applicative Aspects of Computer Science (ICTAACS)

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Deep learning based web service recommendation methods: A survey

Mecheri

Klai

Souici-Meslati

2023

IFS

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Web service recommender systems have a fundamental role in the selection, composition and substitution of services. Indeed, they are used in several application areas such as Web APIs and Cloud Computing. Likewise, Deep Learning techniques have brought undeniable advantages and solutions to the challenges faced by recommendations in all areas. Unfortunately, the field of Web services has not yet benefited well from these deep methods, moreover, the works using these methods for Web services domain are very recent compared to the works of other fields. Thus, the objective of this paper is to study and analyze state-of-the-art work on Web services recommender systems based on Deep Learning techniques. This analysis will help readers wishing to work in this field, and allows us to direct our future work concerning the Web services recommendation by exploiting the advantages of Deep Learning techniques.

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Context-based interoperability of semantic web services

Cited by 3 publications

References 0 publications

Interactive Middleware Services for Heterogeneous Systems

Interactive Middleware Services for Heterogeneous Systems

A Framework for implementing the interoperability of semantic web services: Case study

Deep learning based web service recommendation methods: A survey

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