Journal article Open Access

Proactive and reactive context reasoning architecture for smart web services

Nawel Sekkal; Sidi Mohamed Benslimane; Michael Mrissa; Cheol Young Park; Boudjemaa Boudaa

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.

Files (682.9 kB)
Name Size
proactive.pdf
md5:3fec17e99c20df5a9da301846ee441b2
682.9 kB Download
51
22
views
downloads
Views 51
Downloads 22
Data volume 15.0 MB
Unique views 45
Unique downloads 19

Share

Cite as