Artificial Intelligence: A Promised Land for Web Services

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Flexible Loosely Coupled Inter-Organizational Workflows using SOA

8International audienceService Oriented Architecture (SOA) is a paradigm that provides important properties for the development of business applications like flexibility and loose coupling. In our research work, we focus on the use of SOA to implement specific architectures of inter-organizational workflows (IOWF). The current paper deals with the "Loosely Coupled Workflow" specifying an IOWF-architecture that connects two or more workflows -attached to a set of business partners- communicating in an asynchronous manner according to a public communication protocol conjointly defined by all partners. The first issue of this work is to define a service based cooperation pattern called LC-IOWF pattern suitable to the architecture considered in order to obtain IOWF models flexible enough to ease their adaptation. The proposed LC-IOWF pattern is based on three main dimensions: services, control of execution and interactions. Then, we define three categories of adaptation patterns corresponding to the three dimensions exhibited. Particularly, the third category of these patterns called "Interaction adaptation patterns" concerns adaptations affecting the communication protocol and constitutes a specific type of adaptation compared with other IOWF-architectures. For implementation, we consider IOWF models specified with BPEL

Adaptive e-learning grid platform

Many analysts believe that more and more organizations are looking to introduce e-learning as a way to solve critical business problems and as a vital component of an integrated approach to their training solutions. So we are introducing our next generation, e-learning grid platform to meet the evolving needs of the market, which include technology, content and services. This platform will define a new mode of service interaction and application creation. It proposes a user-friendly method for deploying interactive (mobile) devices and for accessing new and innovative added value services. The specific infrastructure will provide the technology necessary to access, arrange, manage and make available e-learning services and applications, for both individual end users and business

Designing for change: mash-up personal learning environments

Institutions for formal education and most work places are equipped today with at least some kind of tools that bring together people and content artefacts in learning activities to support them in constructing and processing information and knowledge. For almost half a century, science and practice have been discussing models on how to bring personalisation through digital means to these environments. Learning environments and their construction as well as maintenance makes up the most crucial part of the learning process and the desired learning outcomes and theories should take this into account. Instruction itself as the predominant paradigm has to step down. The learning environment is an (if not 'the�) important outcome of a learning process, not just a stage to perform a 'learning play'. For these good reasons, we therefore consider instructional design theories to be flawed. In this article we first clarify key concepts and assumptions for personalised learning environments. Afterwards, we summarise our critique on the contemporary models for personalised adaptive learning. Subsequently, we propose our alternative, i.e. the concept of a mash-up personal learning environment that provides adaptation mechanisms for learning environment construction and maintenance. The web application mash-up solution allows learners to reuse existing (web-based) tools plus services. Our alternative, LISL is a design language model for creating, managing, maintaining, and learning about learning environment design; it is complemented by a proof of concept, the MUPPLE platform. We demonstrate this approach with a prototypical implementation and a – we think – comprehensible example. Finally, we round up the article with a discussion on possible extensions of this new model and open problems