Ontology based composition of e-Government services using AI Planning

TitreOntology based composition of e-Government services using AI Planning
Publication TypeConference Paper
Year of Publication2015
AuthorsAdadi, A, Berrada, M, Chenouni, D, Bounabat, B
Conference Name2015 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA)
PublisherIEEE
ISBN Number978-1-5090-0220-7
Abstract

A major propelling technology for electronic government (e-Government) is the powerful concept of Semantic Web Service. Semantically enriched Web services promise to increase the level of automation and to reduce integration efforts significantly. On the other hand, and due to the heterogeneous structure of the public sector, the achievement of interoperability and integration is a key challenge for a comprehensive e-Government. Therefore, the combination of e-Government and Semantic Web Services is very much natural. In this paper, we present a dynamic approach for semantically composing e-Government Web services based on Artificial Intelligence (AI) techniques. The overall objective of our approach is to improve the citizen centric e-Government vision by providing a platform for automatically discovering, composing and optimizing e-Government services.

Revues: 

Partenaires

Localisation

Suivez-nous sur

   

Contactez-nous

ENSIAS

Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal Rabat, Maroc

 Télécopie : (+212) 5 37 77 72 30

  Secrétariat de direction : 06 61 48 10 97

        Secrétariat général : 06 61 70 77 02

        Service des affaires estudiantines : 06 62 44 87 47

        Résidences : 06 61 82 89 77

    

    Compteur de visiteurs:400,881
    Education - This is a contributing Drupal Theme
    Design by WeebPal.