Web Service Composition in Dynamic Environment : A Comparative Study

AlSedrani, Aram; Touir, Ameur

doi:10.5121/csit.2016.60508

Cited by 3 publications

(3 citation statements)

References 17 publications

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“… Problems of Web services composition:Web services, as currently defined, are limited to relatively simple functionalities. However, for certain types of applications, it is necessary to combine a set of simple web services into a service that meets more complex requirements [2]. In this document we focus on these problems of Web Services semantics, Web service discovery and Web services composition.…”

Section: New Technologies Always Bring New Problemsmentioning

confidence: 99%

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Proposition of Web Services Discovery and Composition Approach: Application in E-learning Platform

Halim¹,

Adadi²,

Berrada³

et al. 2022

IJETAE

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The rapid penetration of Web technologies and strong economic pressure have led to an irresistible proliferation of Web services. In this paper, we are interested in the discovery and composition of Web services. In this sense, we propose a conceptual architecture and technical tools to carry out our approach. The originality of the proposed solution lies in the use of mixed tools ranging from multi-agents systems to Business Process Management (BPM) techniques, including Matchmaking algorithms and semantic models.

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Section: New Technologies Always Bring New Problemsmentioning

confidence: 99%

“…Following this preliminary analysis, the system obtains a semantic and formal representation of the user's request. This request management work, ultimately, results in a list of semantically described functional requirements sent to the Discovery Agent (2).…”

Section: B Description Of the Proposed Architecturementioning

confidence: 99%

Proposition of Web Services Discovery and Composition Approach: Application in E-learning Platform

Halim¹,

Adadi²,

Berrada³

et al. 2022

IJETAE

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“…After having theorized extensively about evaluating Web service composition approaches [18] [28], We have noted that several evaluation criteria exist in the literature, however none of these evaluations take into account the e-Government specific requirements. The e-Government environment is highly heterogeneous in nature and manages a sensitive relationship (between government end citizens).…”

Section: Recommendation Layer: Machine Learning Based Personalizationmentioning

confidence: 99%

Artificial Intelligence based Composition for E-Government Services

Adadi

Berrada

Akkad³

2019

Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 20

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Given the complex nature of the public sector with several distributed governmental institutions and manifold semantic differences of interpretation, the achievement of interoperability and integration is a key challenge for a comprehensive and effective Electronic Government (e-Government). Promising technologies that could be used to tackle this issue are: the powerful concept of ontology and the advanced Artificial Intelligence (AI) systems. Ontologies contribute to a common understanding of heterogeneous resources, while AI techniques make process integration dynamic and automated. However, up until now the use of AI along with ontologies has been fairly limited in e-Government. There is still, then, untapped potential in this field which worth to be exploited. In this paper, we present a dynamic approach for semantically integrating e-Government Web services based on AI techniques. The overall objective of our approach is to improve the citizen centric e-Government vision by providing a conceptual framework for automatically discovering, composing and optimizing e-Government services. Within the proposed approach, special emphasis is put on personalization aspects and evaluation criteria for e-Government platform.

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