Service Discovery Mechanism for an Intentional Pervasive Information System

Abstract

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

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

“…Then, if the matching score between them is higher than a given threshold, only at this moment we evaluate the satisfaction of the context condition cxi.cd with respect to the user's context observations value, one by one. More details about the discovery mechanism are presented in Najar et al [28]. Besides, the weight (w) that the user allocates to each context attribute (whose value is between 0 and 1) represents the importance of an attribute to a given entity.…”

“…5 the semantic matching algorithm is a two-step process: intention matching and context matching, presented in detail in [28]. In the first step, the intention matching is based on the use of ontologies and a semantic matching.…”

“…Actually, we consider a service as a way to satisfy a user's intention in a given context [28]. An intention can be seen as the goal that we want to achieve without saying how to perform it [17].…”

Intention Prediction Mechanism in an Intentional Pervasive Information System

“…It represents the most appropriate service that satisfies user"s immediate intention in his current context. More specifically, the semantic matching algorithm, as illustrated in Figure 7, is a two-step process (Najar et al 2012): intention matching and context matching. In the first step, the intention matching is based on the use of ontologies, semantic matching and degree of similarity.…”

“…Thus, the intention matchingbetween user"s intention I U = <V U , T U > and service"s intention I S = <V S , T S >is calculated based on the target matching and on the verb matching (Najar et al, 2012). The second step, i.e.…”