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Abstract
Service composition in an important facet in service oriented architecture, it’s about the idea of assembling atomic services to satisfy a demand rather than building new applications from ‘scratch’, From the user’s perspective it’s a complex task due to the increasing number of services in the web and their heterogeneity. This complexity is increasing in the internet of Things era wehere computing devices are everywhere. In this work we propose an approach for composition of context aware services in a semantic manner, Artificial Intelligence planning is used to automate the composition starting from a defined objectif containing user request and context parameters. Service are described by extending OWL-S with contextual conditions. The proposed architecture was evaluated through an e-health scenario where chronic patients can benefit from a remote and automated medical supervision and emergency handling.
Highlights
Of the actual computing era of internet of thing where multiple connected devices pervades the environment, this is the results of the development in many research areas such wireless networks, artificial intelligence, small devices the computing power of actual computers
First we describe the context ontology and the service description by extending OWL-S, we describe the composition architecture layers, and how each layer works. 2.1 Ontology Modeling We choose to model context element by using an ontology containing different context parameters, the context ontology is composed of the following sub contexts: Figure 3
We presented our proposal to deal with context aware service composition
Summary
Of the actual computing era of internet of thing where multiple connected devices pervades the environment, this is the results of the development in many research areas such wireless networks, artificial intelligence, small devices the computing power of actual computers All these advances lead to a new generation of services based on personalization recommendations and adaptability. To be context-aware composite services need to follow some requirements to resolve the challenges brought by the context-awareness paradigm, the composed service should be built in an automatic and dynamic way depending on the context of use To tackle those problems, a synergy approach between web semantic paradigm and self-adaptive systems is necessary (Sheshagiri, M et al, 2004). In one hand semantic web services through preconditions and effects are needed to automate the composition and context awareness to add dynamicity and adaptability to the service composition
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