1,614 research outputs found
A Scalable Grid and Service-Oriented Middleware for Distributed Heterogeneous Data and System Integration in Context-Awareness Oriented Domains
This chapter investigates the application of SOA principles for integrating embedded devices features, typically operating in ubiquitous computing environments, with enterprise-level services and business processes. Under this perspective, we present the SAI – Service Application Integration – system as a working example of a message-oriented middleware supporting context-aware application development. A special case study, focused on the monitoring of dangerous goods shipment via maritime transport and involving the gathering, processing, and distribution of data collected by heterogeneous components, has been designed to experiment the added value of the proposed integration system in a Web of Things scenario
An Ontology-based system for Context-aware and Configurable Services to Support Home-based Continuous Care
Continuous care models for chronic diseases pose several technology-oriented challenges for home-based care, where assistance services rely on a close collaboration among different stakeholders, such as health operators, patient relatives, and social community members. This paper describes an ontology-based context model and a related context management system providing a configurable and extensible service-oriented framework to ease the development of applications for monitoring and handling patient chronic conditions. The system has been developed in a prototypal version, and integrated with a service platform for supporting operators of home-based care networks in cooperating and sharing patient-related information and coordinating mutual interventions for handling critical and alarm situations. Finally, we discuss experimentation results and possible further research directions
Context-aware Information Services to Support Tourist Communities
Several context-aware applications exist that provide tourists with location-based content delivery
and interface adaptation to current activity. Our approach differs from previous ones as we consider
a tourist not only as a target for content delivery, but also as a source of valuable information,
useful for other tourists and service providers as well. This work describes a tourism context-aware
application that provides tourists on the move with proper mobile and location-based contextaware
services supporting community building and knowledge exchange. To this purpose, the
application includes a context-aware instant messaging service and a tourist service provider reputation
system, which supports tourists during decision-making processes. Here we describe main
issues related to the design and prototype implementation of the tourism context-aware application
and main results of user trials
An Ontology-based Context Model for Home Health Monitoring and Alerting in Chronic Patient Care Networks
New care models have been defined in order to manage the increasing impact of chronic conditions. These models pose several technology-oriented challenges for home-based continuous care, requiring assistance services based on collaboration among different stakeholders: health operators, patient relatives, as well as social community members. This work describes an ontology-based context model and a related context management middleware providing a reusable and extensible application framework for monitoring and assisting patients at home. It provides flexible instruments for patient health status and social context representation, as well as reasoning mechanisms for alarm situation handling
An evaluation of Context-Aware Infomobility Systems
The delivery of real-time, context-aware, and personalized information to end-users for mobility support
is a high-priority objective in improving mobility services efficiency and effectiveness. This chapter
aims at providing an analysis of existing studies in the field of context awareness research targeted to
the infomobility application domain. The authors propose an evaluation framework for infomobility
services based on the elicitation of context information items and high-level requirements. The framework is applied to some relevant state-of-the art research works among personal navigation systems,
infomobility service integration frameworks and context-aware location-based communication platforms.
Evaluation results are discussed in order to highlight open research challenges in the infomobility application
domain
The effects of monetary policy shocks in credit and labor markets with search and matching frictions
By introducing search and matching frictions in both the labor and the credit markets into a cash in advance New Keynesian DSGE model, we provide a novel explanation of the incomplete pass-through from policy rates to loan rates. We show that this phenomenon is ineradicable if banks possess some power in the bargaining over the loan rate of interest, if the cost of posting job vacancies is positive and if firms and bank sustain costs when searching for lines of credit and when posting credit vacancies, respectively. We also show that the presence of credit market frictions moderates the reactions of output and wages to a monetary shock, and that the transmission of monetary policy shocks to output and inflation is more relevant than suggested by the recent literature
Message-Based Service Brokering and Dynamic Composition in the SAI Middleware
Service-Oriented Computing (SOC) is a wide and
complex research area. Despite the huge effort in both industrial and academics initiatives, several challenges need to be addressed in order to effectively realize the SOC vision. One of the most relevant issues is the need of effective, flexible,
reliable, low cost solutions for dynamic service brokering and composition. This paper presents results of an ongoing work on the design and development of a service- and messageoriented
middleware for atomic and composite service
brokering, named SAI middleware. The SAI middleware offers
a set of features for service brokering and dynamic
composition, while also guaranteeing loose coupling between service providers and consumers and relaxing the prerequisites
for service providers to publish their capabilities in an interoperability domain. SAI dynamic composition is based on an Artificial Intelligence planning approach and on the
adoption of an ontology-based functional profile encoding
information for enabling automatic information extraction and combination in the service composition chain. Our main
contribution consists in addressing these issues in a holistic way, as required to effectively support the SOA vision in real application scenarios, while not optimizing single aspects yet
A Service-Oriented Framework for distributed heterogeneous Data and System Integration for Continuous Care Networks
Care models for chronic condition treatment place point-of-care in the community and at patient's home and imply an organized care system ("continuous care network"). The contribution of this work consists in the proposal of a service framework to support information acquisition, integration and sharing in continuous care networks. The framework is based on a service-oriented message-oriented middleware ("SAI middleware") easing the development of context-aware and information integration applications. We describe an ongoing case study aiming at demonstrating the use of the service framework in a reference application scenario for patient conditions monitoring, alarm detection and policy-based handling
ERMHAN: A Context-Aware Service Platform to Support Continuous Care Networks for Home-Based Assistance
Continuous care models for chronic diseases pose several technology-oriented challenges for home-based continuous care, where assistance services rely on a close collaboration among different stakeholders such as health operators, patient relatives, and social community members. Here we describe Emilia Romagna Mobile Health Assistance Network (ERMHAN) a multichannel context-aware service platform designed to support care networks in cooperating and sharing information with the goal of improving patient quality of life. In order to meet extensibility and flexibility requirements, this platform has been developed through ontology-based context-aware computing and a service oriented approach. We also provide some preliminary results of performance analysis and user survey activity
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