The influence of context on intentional service

International audienceSeveral service-oriented approaches promote the intention concept as a way to describe and document services based on user's requirements. However, these approaches have two main limitations: (1) they don't take into account the fact that a user evolves in a context that can influence his intentions, and (2) at the software service level, the corresponding intentional description of these software services is missing. Such a description should be a high level one, which is not directly connected to the software services. The objective of the paper is to propose a semantic service description that considers both intention corresponding to the service and context in which it is supposed to emerge. In addition, the variability embedded in the intentional description can be also affected by the user context. Such influence is also considered in our proposition

Bringing context to intentional services

International audienceIn service-orientation, the notion of service is used in different views. On the one hand, several approaches have been proposing services that are able to adapt themselves according to the context in which they are used. On the other hand, some researches have been proposing to consider user's goals when proposing business services. We believe that these two views are complementary. A goal is only meaningful when considering the context in which it emerges, and conversely, context description is only meaningful when associated with a user goal. In order to take profit of both views, we propose to extend the OWL-S service description by including on it both the specification of context associated with the service and the goal that characterize it

Enriched Semantic Service Description for Service Discovery: Bringing Context to Intentional Services

International audienceIn service-orientation, the notion of service is studied from different point of views. On the one hand, several approaches have been proposing services that are able to adapt themselves according to the context in which they are used. On the other hand, some researches have been proposing to consider user intentions when proposing business services. We believe that these two views are complementary. An intention is only meaningful when considering the context in which it emerges. Conversely, context description is only meaningful when associated with a user intention. In order to take profit of both views, we propose to extend the Ontology Web Language for services description (OWL-S). We include on it both the specification of context associated with the service and the intention that characterize it. This extended description is experimented in a semantic registry that we built for service discovery purposes. Such registry considers a matching algorithm, which exploits the extended description. Then, we present experimental results of this matching algorithm that demonstrates the advantages one may have on using the proposed descriptor. Thus, we propose a new vision of service orientation taking into account the notion of intention and context. This new vision is based on the extended semantic descriptor, which is necessary in order to enhance transparency of the system by proposing to the user the most appropriate service

Service discovery and prediction on Pervasive Information System

International audienceRecent evolution of technology and its usages, such as BYOD (Bring Your Own Device) and IoT (Internet of Things), transformed the way we interact with Information Systems (IS), leading to a new generation of IS, called the Pervasive Information Systems (PIS). These systems have to face heterogeneous pervasive environments and hide the complexity of such environment end-user. In order to reach transparency and proactivity necessary for successful PIS, new discovery and prediction mechanisms are necessary. In this paper, we present a new user-centric approach for PIS and propose new service discovery and prediction based on both user's context and intentions. Intentions allow focusing on goals user wants to satisfy when requesting a service. Those intentions rise in a given context, which influence the service implementation. We propose a service discovery mechanism that observes user's context and intention in order to offer him/her the most appropriate service satisfying her/his intention on the current context. We also propose a prediction mechanism that tries to anticipate user's intentions considering the user's history and the observed context. We evaluate both mechanisms and discuss advanced features future PIS will have to deal with

A context-aware intentional service prediction mechanism in PIS

International audiencePervasive Information System (PIS) represents a new generation of Information Systems (IS) available anytime, anywhere in a pervasive environment. In this paper, we propose to enhance PIS transparency and efficiency through a context-aware intentional service prediction approach. This approach allows anticipating user's future needs, offering and recommending him the most suitable service in a transparent and discrete way. We detail in this paper our service prediction mechanism and present encouraging experimental results demonstrating our proposition

A user-centric vision of service-oriented Pervasive Information Systems

International audienceInformation Systems (IS) have massively adopted service orientation by exposing their functionalities as services. With the evolution of mobile technologies (smartphones, 3G/4G networks, etc.), such systems are now confronted with a new pervasive environment for which they were not originally designed. Indeed, pervasive environments are characterized by their heterogeneity and dynamicity due to their evolving context and their need for transparency. None of these features are particularly considered in traditional IS designed for stable and controlled office environments. In our new vision for service- oriented Pervasive Information Systems (PIS), the user becomes the center of these systems. This paper presents a user-centric service-oriented vision for PIS based on a context-aware intentional approach, which considers the user intention and the context in which this intention arises as a guiding principle for service description, discovery, prediction and recommendation

Service Discovery Mechanism for an Intentional Pervasive Information System

International audiencePervasive Information System (PIS) provides a new vision of Information System available anytime and anywhere. The users of these systems must evolve in a space of services, in which several services are offered to him. However, PIS should enhance the transparency and efficiency of the system. We believe that a user-centric vision is needed to ensure a transparent access to the frequently changing space of services regardless of how to perform it. In this paper, we propose a new approach of PIS, both context-aware and intentional called IPIS. In this approach, services are proposed in order to satisfy user's intention in a given context. Then, we propose a context-aware intentional service discovery mechanism. Such mechanism is based on an extension of OWL-S taking into account the notion of context and intention. We present in this paper IPIS platform. Then, we detail the proposed service discovery mechanism and present experimental results that demonstrate the advantage of using our proposition

Analyse des mécanismes de découverte de services avec prise en charge du contexte et de l'intention

National audienceAvec la démocratisation des dispositifs et des réseaux mobiles, les systèmes d'information deviennent pervasifs. Les utilisateurs de ces systèmes doivent désormais évoluer dans de véritables espaces de services, dans lesquels plusieurs services sont offerts. Afin d'améliorer la transparence des systèmes d'information pervasifs, nous proposons une nouvelle approche pour ces systèmes, à la fois sensible au contexte et intentionnelle. Dans cette approche, les services offerts par ces systèmes sont proposés afin de satisfaire à une intention, laquelle correspond à l'expression d'un but utilisateur, dans un contexte donné. Pour valider cette approche, nous développons actuellement une plate-forme de découverte de services basée sur une extension de OWL-S qui intègre ces notions. Grâce à des résultats expérimentaux, nous analysons l'impact de l'usage de ces notions de contexte et d'intention dans la sélection de services et démontrons l'intérêt de notre approche dans la découverte des services

Systèmes d'Information Pervasifs et Espaces de Services : Définition d'un cadre conceptuel

National audienceCet article introduit la notion d'Espace de Services, constituant un cadre conceptuel pour la spécification des Systèmes d'Information Pervasifs (SIP). Ces systèmes doivent aligner le dynamisme et l'hétérogénéité propres aux environnements pervasifs avec les contraintes métiers et de sécurité qui caractérisent les Systèmes d'Information (SI). La notion d'espace de services est ainsi un outil conceptuel permettant de mieux gérer l'hétérogénéité des environnements pervasifs dans le cadre d'un SI

Semantic representation of context models: a framework for analyzing and understanding

pp. 10International audienceContext-aware systems are applications that adapt themselves to several situations involving user, network, data, hardware and the application itself. In this paper, we review several context models proposed in different domains: content adaptation, service adaptation, information retrieval, etc. The purpose of this review is to expose the representation of this notion semantically. According to this, we propose a framework that analyzes and compares different context models. Such a framework intends helping understanding and analyzing of such models, and consequently the definition of new ones. This framework is based on the fact that context-aware systems use context models in order to formalize and limit the notion of context and that relevant information differs from a domain to another and depends on the effective use of this information. Based on this framework, we consider in this paper a particular application domain, Business Processes, in which the notion of context remains unexplored, although it is required for flexibility and adaptability. We propose, in this paper, an ontology-based context model focusing on this particular domain