@article {Daosabah2021324,
	title = {Dynamic composition of services: an approach driven by the user{\textquoteright}s intention and context},
	journal = {International Journal of Web Engineering and Technology},
	volume = {16},
	number = {4},
	year = {2021},
	note = {cited By 1},
	pages = {324-354},
	abstract = {With the continuous development of services in ubiquitous systems, service orientation is becoming increasingly important in its structuring. As a result, the design and the development of applications are gradually migrating from a traditional model to a service-oriented model. In this regard, we propose through this work an approach for web service (WS) composition guided by the context and the intention, by which we suggest an architecture for service composition that reduces the complexity of the generated artificial intelligence (AI) planning problem and to ensure the interoperability of any system independently of the domain planners. The general idea of this approach is to conceive an intentional-contextual metamodel that will be transformed into an OWL model using OMG standards, which will be used to map the WS composition problem into AI planning problems. This article describes the architectural, conceptual, and strategic aspects to deal with the WS composition problem. {\textcopyright} 2021 Inderscience Enterprises Ltd.},
	keywords = {Artificial intelligence, Birds, Context- awareness, Intention, interoperability, Object management, Object management group, OMG, Ontology{\textquoteright}s, OWL-S, Quality of service, Services composition, Spring cloud framework, Web service composition, Web services},
	doi = {10.1504/IJWET.2021.122768},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124011575\&doi=10.1504\%2fIJWET.2021.122768\&partnerID=40\&md5=f9387d7a26ae641892da27f98947542d},
	author = {Daosabah, A. and Guermah, H. and Nassar, M.}
}
@article {Koulou2020,
	title = {Optimization in collaborative information systems for an enhanced interoperability network},
	journal = {International Journal for Simulation and Multidisciplinary Design Optimization},
	volume = {11},
	year = {2020},
	note = {cited By 2},
	abstract = {Today{\textquoteright}s constraints on collaborative enterprises are often directly reflected in the interoperability of their information systems. The goal is to improve and effectively evolve the global interoperability of collaboration by distributing the required effort in an optimal way on different information systems to achieve the target goal. This method of enhancement will be realized by applying an IMA (Interoperability Measurement Approach) to generate a ratio representing the degree of interoperability of an information system within the collaboration, as well as applying the heuristic optimization method PPSO (Paralleled Particle Swarm Optimization) to reach the optimal distribution of effort. {\textcopyright} A. Koulou et al.},
	keywords = {Collaborative enterprise, Collaborative information systems, Heuristic methods, Heuristic optimization method, Information systems, Information use, interoperability, Optimal distributions, Particle swarm optimization (PSO)},
	doi = {10.1051/smdo/2019021},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085511318\&doi=10.1051\%2fsmdo\%2f2019021\&partnerID=40\&md5=e1f020778ecbcca1fde01bc7eee029d3},
	author = {Koulou, A. and Zemzami, M. and El Hami, N. and Elmir, A. and Hmina, N.}
}
@article {3318641920080701,
	title = {An Adaptation of E-learning Standards to M-learning.},
	journal = {International Journal of Interactive Mobile Technologies},
	volume = {2},
	number = {3},
	year = {2008},
	pages = {11 - 16},
	abstract = {The exploitation of technological advances in learning has result in an exponential progress in this field through e-learning applications in the last decade, and currently through the emergence of a new concept called m-learning. M-learning is defined as the use of mobile technologies for learning; m-learning must benefit from e-learning technological advances in order to avoid reinventing the wheel. Nevertheless, m-learning, which is characterized by the use of mobile devices, permits, for example, the learners{\textquoteright} mobility during their learning, and, as opposed to e-learning, allows a continuous change of the context. Moreover, m-learning faces some constraints caused by the use of its mobile technologies such as the limited screen size, reduced energy, resolution capacity and location change during an activity. Yet, there is an agreement among most research laboratories interested in e- and m- learning on the parallel use of these two learning environments. Therefore, it would be mor},
	keywords = {Computer assisted instruction, e-learning, IMS LD, Internet in education, interoperability, LOM, m-learning, Mobile communication systems in education, Online data processing, Online information services, Technological innovations, Telecommunication {\textendash} Study \& teaching, Web-based instruction, Wireless communication systems},
	issn = {18657923},
	url = {http://search.ebscohost.com/login.aspx?direct=true\&db=iih\&AN=33186419\&site=ehost-live},
	author = {Najima, Daoudi and Rachida, Ajhoun}
}
