@conference {Adadi2015,
	title = {Modeling and simulation of Web Services composition based on MARDS model},
	booktitle = {2015 10th International Conference on Intelligent Systems: Theories and Applications, SITA 2015},
	year = {2015},
	note = {cited By 0},
	abstract = {Web services composition is an emerging paradigm for application integration within and across organizations and enterprises. A set of languages and techniques for web services composition has emerged and is continuously being enriched with new proposals from different vendors. Among these languages we remind Business Process Execution Language (BPEL) which emphasizes the importance of modelling and simulating of business process in Web Services composition. Multi-agent Systems (MAS) are composed of autonomous agents that interact and coordinate to achieve their intentions. This makes them particularly adapted to modelling composite and complex information systems. In this paper we propose a new approach for modeling and simulating the process of web services composition using the Multi-Agent Reactive Decisional System (MARDS) Model and BPEL Language. {\textcopyright} 2015 IEEE.},
	doi = {10.1109/SITA.2015.7358410},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962459570\&doi=10.1109\%2fSITA.2015.7358410\&partnerID=40\&md5=139a7b0bfa27d7407c85a721fd63883e},
	author = {Adadi, N.a and Berrada, M.a and Chenouni, D.a and Bounabat, B.b}
}
@conference {Adadi2015,
	title = {Ontology based composition of e-Government services using AI Planning},
	booktitle = {2015 10th International Conference on Intelligent Systems: Theories and Applications, SITA 2015},
	year = {2015},
	note = {cited By 0},
	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. {\textcopyright} 2015 IEEE.},
	doi = {10.1109/SITA.2015.7358430},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962383271\&doi=10.1109\%2fSITA.2015.7358430\&partnerID=40\&md5=7ef06f1db05a4059c1b4423498a9fc41},
	author = {Adadi, A.a and Berrada, M.a and Chenouni, D.a and Bounabat, B.b}
}
@article {Adadi20141667,
	title = {Multi-agent architecture for business modeling of web services composition based on WS2JADE framework},
	journal = {International Review on Computers and Software},
	volume = {9},
	number = {10},
	year = {2014},
	note = {cited By 1},
	pages = {1667-1674},
	abstract = {Web services have gained popularity today for enabling universal interoperability among applications. In order this, to answer the complex service requirements of the user, composite web services has to be constructed correctly and effectively. For this reason, various approaches have been used for web service composition. Among these approaches we quote the one who allows software agents to access and control Web Services, in this approach the integration between agents and web services platforms is important. For this purpose, the toolkit WS2JADE is developed at the Centre of Intelligent Agent and Multi-Agent Systems, it allows deployment of Web services as JADE (JAVA agent DEvelopment Framework) agents services at run time. Therefore, composition of web services is returned to that of JADE agents services. In this paper we propose a new approach for modeling the composition of JADE agents services and thus web services using the Multi-Agent Reactive Decisional System (MARDS) Model. {\textcopyright} 2014 Praise Worthy Prize S.r.l. - All rights reserved.},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84918797197\&partnerID=40\&md5=e62783fd0572039e37459b2f34c82d37},
	author = {Adadi, N.a and Berrada, M.a and Chenouni, D.a and Bounabat, B.b}
}
