Ontology based composition of e-Government services using AI Planning

被引：0
|
作者：
Adadi, Amina [1 ]
Berrada, Mohammed [1 ]
Chenouni, Driss [1 ]
Bounabat, Bouchaib [2 ]
机构：
[1] Sidi Mohammed Ben Abdellah Univ, LIPI, ENS Fes, Fes, Morocco
[2] Mohammed V Souissi Univ, ENSIAS, Al Qualsadi Res & Dev Team, Rabat, Morocco
来源：
2015 10TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS: THEORIES AND APPLICATIONS (SITA) | 2015年
关键词：
Web Service Composition; Semantic Web Services; e-Government; Multi-agent systems; AI Planning;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页数：8
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