Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofaïl University -Kénitra- Morocco

Research Article

Artificial Intelligence based Composition for E-Government Services

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  • @INPROCEEDINGS{10.4108/eai.24-4-2019.2284071,
        author={amina  adadi and Mohammed  BERRADA and Nabil  EL AKKAD},
        title={Artificial Intelligence based Composition for  E-Government Services },
        proceedings={Proceedings of the Third International Conference on Computing and Wireless Communication Systems, ICCWCS 2019, April 24-25, 2019, Faculty of Sciences, Ibn Tofa\~{n}l University -K\^{e}nitra- Morocco},
        publisher={EAI},
        proceedings_a={ICCWCS},
        year={2019},
        month={5},
        keywords={semantic web service composition e-government ontology multi-agent systems ai planning machine learning reinforcement learning},
        doi={10.4108/eai.24-4-2019.2284071}
    }
    
  • amina adadi
    Mohammed BERRADA
    Nabil EL AKKAD
    Year: 2019
    Artificial Intelligence based Composition for E-Government Services
    ICCWCS
    EAI
    DOI: 10.4108/eai.24-4-2019.2284071
amina adadi,*, Mohammed BERRADA1, Nabil EL AKKAD1
  • 1: Sidi Mohammed Ben Abdellah University
*Contact email: amina.adadi@gmail.com

Abstract

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.