A Collaborative Semantic Annotation System in Health: Towards a SOA Design for Knowledge Sharing in Ambient Intelligence

Abstract

People nowadays spend more and more time performing collaborative tasks at anywhere and anytime. Specifically, professionals want to collaborate with each other by using advanced technologies for sharing knowledge in order to improve/automatize business processes. Semantic web technologies offer multiple benefits such as data integration across sources and automation enablers. The conversion of the widespread Content Management Systems into its semantic equivalent is a relevant step, as this enables the benefits of the semantic web to be extended. The FLERSA annotation tool makes it possible. In particular, it converts the Joomla! CMS into its semantic equivalent. However, this tool is highly coupled with that specific Joomla! platform. Furthermore, ambient intelligent (AmI) environments can be seen as a natural way to address complex interactions between users and their environment, which could be transparently supported through distributed information systems. However, to build distributed information systems for AmI environments it is necessary to make important design decisions and apply techniques at system/software architecture level. In this paper, a SOA-based design solution consisting of two services and an underlying middleware is combined with the FLERSA tool. It allows end-users to collaborate independently of technical details and specific context conditions and in a distributed, decentralized way.

A Microservices e-Health System for Ecological Frailty Assessment Using Wearables

“…In order to monitor a variety of sensory data, we need to integrate and combine several sensors through systems, which usually use IoT and/or microservices architectures [34][35][36]. IoT health systems allow doctors to monitor patients constantly and to suggest corrective actions according to the analyzed data [29,37,38]. For example, one of the goals of City-4Age and ACTIVAGE H2020 projects is the assessment of frailty using IoT technology based on rules [39].…”

“…Service-Oriented Architectures (SOA) are well-known for its generalization, and therefore for its reuse in different scenarios. They can also deal with mobility, integration interoperability, fault tolerance and self-adaptation [ 25 , 26 , 27 , 28 , 29 ]. A microservices architecture improves the SOA approach, following the concept share-as-little-as-possible [ 30 ], with additional system characteristics such as decoupling, flexibility, extension, scalability and evolution [ 31 , 32 ].…”

LPaaS as Micro-Intelligence: Enhancing IoT with Symbolic Reasoning

“…On the side of architectures and middleware for scalable and ubiquitous computing in IoT, many research works promote the usage of event-driven SOA (EDA-SOA) [64][65][66], mostly due to their effectiveness in terms of scalability, interoperability, reliability, and responsiveness. In particular, reference [64] shows how challenges like scalability can be addressed by exploiting SOAP-based, RESTful, and broker-based architectures.…”

Semantic and Virtual Reality-Enhanced Configuration of Domestic Environments: The Smart Home Simulator

“…Welge et al [7] addressed the issue of interoperability of di erent devices and distributed systems identifying in the exploitation of knowledge management and ontologies the key to overcome this problem. Semantic Web technologies are presented in [8] as an e ective approach to allow the management of heterogeneous information in Ambient Intelligence solutions; in this work, the FLERSA tool [9] is enhanced in its interoperability features, allowing the deployment of Ambient Intelligence applications making use of di erent technologies and platforms. In [10], the authors described an upper ontology for the semantic support of AAL platforms, capturing the semantics of the AAL domain and depicting the services provided by a system and including the orchestration of data coming from sensors and other services.…”