Service discovery and prediction on Pervasive Information System

Salma Najar (1) , Manuele Kirsch Pinheiro (1) , Carine Souveyet (1)

1 CRI - Centre de Recherche en Informatique de Paris 1

Recent 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.

Mots clés: Pervasive Information System; context-awareness; service discovery; service prediction; clustering; classification

Domaines: Informatique ubiquitaire; Informatique mobile; Web

Salma Najar, Manuele Kirsch Pinheiro, Carine Souveyet. Service discovery and prediction on Pervasive Information System. Journal of ambient intelligence and humanized computing, 2015, 6 (4), pp.407-423. ⟨10.1007/s12652-015-0288-5⟩. ⟨hal-01196942⟩