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Service discovery and prediction on Pervasive Information System

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Abstract

Recent evolution of technology and its usages, such as Bring Your Own Device and Internet of Things, transformed the way we interact with Information Systems , leading to a new generation of IS, called the Pervasive Information Systems. 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.

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Notes

  1. In this paper, we use the indices u and svi in order to distinguish information related to the user (index u) from the information obtained from the description of a given service (index svi).

  2. http://jena.sourceforge.net/.

  3. http://www.mindswap.org/2003/pellet/index.shtml.

  4. http://www.semwebcentral.org/projects/owls-tc/.

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  1. Centre de Recherche en Informatique/Université Paris 1 Panthéon Sorbonne, 90 Rue Tolbiac, 75013, Paris, France

    Salma Najar, Manuele Kirsch Pinheiro & Carine Souveyet

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  1. Salma Najar
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  2. Manuele Kirsch Pinheiro
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  3. Carine Souveyet
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Correspondence to Manuele Kirsch Pinheiro.

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Najar, S., Pinheiro, M.K. & Souveyet, C. Service discovery and prediction on Pervasive Information System. J Ambient Intell Human Comput 6, 407–423 (2015). https://doi.org/10.1007/s12652-015-0288-5

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