A New Approach for Service Discovery and Prediction on Pervasive Information System

Abstract : Recent evolution of technology transformed the way we interact with Information Systems (IS), leading to a new generation of IS, the Pervasive Information Systems (PIS). These systems have to face heterogeneous pervasive environments, whose complexity they must hide from end-user. In order to reach transparency and proactivity necessary for successful PIS, new discovery and prediction mechanisms are necessary. In this paper, we propose a new user-centric approach for service discovery and prediction on PIS 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 may condition the service implementation. We propose then a service discovery mechanism that observes user's context and intention in order to offer him the service that may best satisfy her/his intention on the current context. We also propose a prediction mechanism that tries to anticipate user's intentions considering the observed context and user's history.
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Conference papers
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https://hal-paris1.archives-ouvertes.fr/hal-01003009
Contributor : Manuele Kirsch Pinheiro <>
Submitted on : Sunday, June 8, 2014 - 7:53:50 PM
Last modification on : Monday, October 21, 2019 - 9:02:04 AM

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Salma Najar, Manuele Kirsch Pinheiro, Carine Souveyet. A New Approach for Service Discovery and Prediction on Pervasive Information System. The 5th International Conference on Ambient Systems, Networks and Technologies (ANT-2014), Jun 2014, Hasselt, Belgium. pp.421-428, ⟨10.1016/j.procs.2014.05.443⟩. ⟨hal-01003009⟩

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