@article {10368063820150701,
	title = {E-Government Portals Maturity Models: A Best Practices{\textquoteright} Coverage Perspective.},
	journal = {Journal of Software (1796217X)},
	volume = {10},
	number = {7},
	year = {2015},
	pages = {805 - 824},
	abstract = {E-government is a field where oriented practice is considered crucial for its prosperity. Therefore, best practices are considered among the success factors of e-government portals. To this end, e-government maturity models can be used to provide guidance and guidelines to identify those best practices. After an extensive literature review, we have collected both; the e-government portals{\textquoteright} best practices and organized them according to their purposes in an e-Government Portals{\textquoteright} Best Practice Model (eGPBPM), and the set of 25 maturity models best practices in two separated previous published studies. The eGPBPM is composed of four best practice categories including: back-end, Web design, Web content and external. Moreover, each maturity model has several stages of maturity and each stage include a set of best practices used to rank the maturity of e-government portals. The goal of this paper is to identify the extent to which e-government maturity models are covering the best practices},
	keywords = {best practices, Capability maturity model (Computer software), E-Government, e-government portal, Information \& communication technologies, Internet in public administration, maturity model, Web design, Web portals},
	issn = {1796217X},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=103680638\&site=ehost-live},
	author = {Fath-Allah, Abdoullah and Cheikhi, Laila and Al-Qutaish, Rafa E. and Idri, Ali}
}
@article {7042325720111201,
	title = {ONTOLOGY EVOLUTION MANAGEMENT FOR SEMANTIC WEB SERVICES COOPERATION.},
	journal = {International Journal of Electronic Business Management},
	volume = {9},
	number = {4},
	year = {2011},
	pages = {310 - 321},
	abstract = {Interconnecting services is a complex task. A part of the complexity comes from the need to have a common, shared view of the information, ontology. Thus, there is a need for approaches that help to overcome the differences between service ontologies, and to manage the possible future evolution of the ontologies. The approach proposed in this paper provides a support for cooperation between services. Our proposition is useful for service architectures that evolve and grow in size constantly. The number of services increases and even services are changing to offer new alternatives. The aim is to provide a flexible way to partially automate the processing of ontology and related mapping evolution management. A case study in Telecom service cooperation illustrates the benefits of our approach. We apply our algorithm and implementation prototype p2OEManager to Message Billing Service ontology and Internet Billing Service ontology and particularly, we use our ontology agent model and proto},
	keywords = {Information \& communication technologies, Information technology, Internet industry, Internetworking (Telecommunication), Multi-agent System, Ontology, Ontology Evolution, Semantic integration (Computer systems), Semantic Service, Web services},
	issn = {17282047},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=bth\&AN=70423257\&site=ehost-live},
	author = {Slimani, Soumaya and Benslimane, Djamal and Baina, Salah and Baina, Karim}
}
