Architecture for decision support system to recommend service bundles regulated by context-aware smart-contracts

2021 ◽  
Author(s):  
Tatiana Levashova ◽  
Michael Pashkin
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Smart Contracts ◽  
Context Aware

A context-aware decision-support system in clinical pharmacy: Drug monitoring in the elderly

2017 ◽  
Vol 52 (1) ◽  
pp. 100-110
Author(s):  
F. Lagrange ◽  
J. Lagrange ◽  
C. Bennaga ◽  
F. Taloub ◽  
M. Keddi ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Clinical Pharmacy ◽  
Drug Monitoring ◽  
The Elderly ◽  
Context Aware

A Dynamic Privacy Manager for Compliance in Pervasive Computing

Data Mining ◽  
2013 ◽  
pp. 793-815
Author(s):  
Riccardo Bonazzi ◽  
Zhan Liu ◽  
Simon Ganière ◽  
Yves Pigneur
Keyword(s):  
Risk Management ◽  
Decision Support ◽  
Decision Support System ◽  
Pervasive Computing ◽  
Support System ◽  
User Behavior ◽  
Context Aware ◽  
Privacy Management ◽  
Four Dimensions ◽  
Business Regulation

In this chapter we propose a decision support system for privacy management of context-aware technologies, which requires the alignment of four dimensions: business, regulation, technology, and user behavior. We have developed a middleware model able to achieve compliance with privacy policies within a dynamic and context-aware risk management situation. We illustrate our model in more details by means of a small prototype that we developed, and we present the current outcomes of its implementation to derive some pointers for the direction of future investigation.

A Dynamic Privacy Manager for Compliance in Pervasive Computing

2012 ◽  
pp. 285-307
Author(s):  
Riccardo Bonazzi ◽  
Zhan Liu ◽  
Simon Ganière ◽  
Yves Pigneur
Keyword(s):  
Risk Management ◽  
Decision Support ◽  
Decision Support System ◽  
Pervasive Computing ◽  
Support System ◽  
User Behavior ◽  
Context Aware ◽  
Privacy Management ◽  
Four Dimensions ◽  
Business Regulation

In this chapter we propose a decision support system for privacy management of context-aware technologies, which requires the alignment of four dimensions: business, regulation, technology, and user behavior. We have developed a middleware model able to achieve compliance with privacy policies within a dynamic and context-aware risk management situation. We illustrate our model in more details by means of a small prototype that we developed, and we present the current outcomes of its implementation to derive some pointers for the direction of future investigation.

scholarly journals Development Experience of a Context-Aware System for Smart Irrigation Using CASO and IRRIG Ontologies

2020 ◽  
Vol 10 (5) ◽  
pp. 1803 ◽  
Author(s):  
Quang-Duy Nguyen ◽  
Catherine Roussey ◽  
María Poveda-Villalón ◽  
Christophe de Vaulx ◽  
Jean-Pierre Chanet
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Information And Communication Technologies ◽  
Support System ◽  
Rapid Development ◽  
Water Shortage ◽  
Context Aware ◽  
Data Schema ◽  
Context Aware System ◽  
Smart Appliance

The rapid development of information and communication technologies and wireless sensor networks has transformed agriculture practices. New tools and methods are used to support farmers in their activities. This paper presents a context-aware system that automates irrigation decisions based on sensor measurements. Automatic irrigation overcomes the water shortage problem, and automatic sensor measurements reduce the observational work of farmers. This paper focuses on a method for developing context-aware systems using ontologies. Ontologies are used to solve heterogeneity issues in sensor measurements. Their main goal is to propose a shared data schema that precisely describes measurements to ease their interpretations. These descriptions are reusable by any machine and understandable by humans. The context-aware system also contains a decision support system based on a rules inference engine. We propose two new ontologies: The Context-Aware System Ontology addresses the development of the context-aware system in general. The Irrigation ontology automates a manual irrigation method named IRRINOV®. These ontologies reuse well-known ontologies such as the Semantic Sensor Network (SSN) and Smart Appliance REFerence (SAREF). The decision support system uses a set of rules with ontologies to infer daily irrigation decisions for farmers. This project uses real experimental data to evaluate the implementation of the decision support system.

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