Published March 3, 2020 | Version v1
Journal article Open

Proactive and reactive context reasoning architecture for smart web services

  • 1. LabRI-SBA Lab, Ecole Superieure en Informatique
  • 2. InnoRenew CoE; Faculty of Mathematics, Natural Sciences and Information Technology, University of Primorska
  • 3. The C4I and Cyber Center, George Mason University
  • 4. Département d'Informatique, Université Ibn Khaldoun


The web of things (WoT) uses web technologies to connect embedded objects to each other and to deliver services to stakeholders. The context of these interactions (situation) is a key source of information which can be sometimes uncertain. In this paper, we focus on the development of intelligent web services. The main requirements for intelligent service are to deal with context diversity, semantic context representation and the capacity to reason with uncertain information. From this perspective, we propose a framework for intelligent services to deal with various contexts, to reactively respond to real-time situations and proactively predict future situations. For the semantic representation of context, we use PR-OWL, a probabilistic ontology based on multi-entity Bayesian networks. PR-OWL is flexible enough to represent complex and uncertain contexts. We validate our framework with an intelligent plant watering use case to show its reasoning capabilities.



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InnoRenew CoE – Renewable materials and healthy environments research and innovation centre of excellence 739574
European Commission