publication . Article . 2020

Proactive and reactive context reasoning architecture for smart web services

Name: Proactive and reactive context reasoning architecture for smart web services
Keywords: Modelling and Simulation, Management Information Systems, Computer Science Applications, smart web service, the web of things, context reasoning, proactive, reactive, multi-entity Bayesian networks, MEBNs, PR-OWL

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

Open Access

Published: 03 Mar 2020 Journal: International Journal of Data Mining, Modelling and Management, volume 13, page 1 (issn: 1759-1163, eissn: 1759-1171,

Publisher: Inderscience Publishers

Summary

Abstract

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...

Persistent Identifiers

doi: 10.1504/ijdmmm.2021.10023541 , 10.1504/ijdmmm.2020.105609

Subjects

free text keywords: Modelling and Simulation, Management Information Systems, Computer Science Applications, smart web service, the web of things, context reasoning, proactive, reactive, multi-entity Bayesian networks, MEBNs, PR-OWL, Architecture, Bayesian network, Computer science, Semantic representation, Web of Things, Multi entity bayesian networks, World Wide Web, Web service, computer.software_genre, computer, Semantic context, Probabilistic ontology

Related Organizations

Funded by

EC| InnoRenew CoE