Artificial Intelligence based Composition for E-Government Services

adadi, amina and BERRADA, Mohammed and EL AKKAD, Nabil (2019) Artificial Intelligence based Composition for E-Government Services. In: ICCWCS 2019, 24-25 April 2019, Kenitra, Morocco.

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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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: semantic web service composition e-government ontology multi-agent systems ai planning machine learning reinforcement learning
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 15 Oct 2021 07:16
Last Modified: 15 Oct 2021 07:16

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