3,828 research outputs found
The Semantic Automated Discovery and Integration (SADI) Web service Design-Pattern, API and Reference Implementation
Background. 
The complexity and inter-related nature of biological data poses a difficult challenge for data and tool integration. There has been a proliferation of interoperability standards and projects over the past decade, none of which has been widely adopted by the bioinformatics community. Recent attempts have focused on the use of semantics to assist integration, and Semantic Web technologies are being welcomed by this community.

Description. 
SADI – Semantic Automated Discovery and Integration – is a lightweight set of fully standards-compliant Semantic Web service design patterns that simplify the publication of services of the type commonly found in bioinformatics and other scientific domains. Using Semantic Web technologies at every level of the Web services “stack”, SADI services consume and produce instances of OWL Classes following a small number of very straightforward best-practices. In addition, we provide codebases that support these best-practices, and plug-in tools to popular developer and client software that dramatically simplify deployment of services by providers, and the discovery and utilization of those services by their consumers.

Conclusions.
SADI Services are fully compliant with, and utilize only foundational Web standards; are simple to create and maintain for service providers; and can be discovered and utilized in a very intuitive way by biologist end-users. In addition, the SADI design patterns significantly improve the ability of software to automatically discover appropriate services based on user-needs, and automatically chain these into complex analytical workflows. We show that, when resources are exposed through SADI, data compliant with a given ontological model can be automatically gathered, or generated, from these distributed, non-coordinating resources - a behavior we have not observed in any other Semantic system. Finally, we show that, using SADI, data dynamically generated from Web services can be explored in a manner very similar to data housed in static triple-stores, thus facilitating the intersection of Web services and Semantic Web technologies
Service-Oriented Architecture for Space Exploration Robotic Rover Systems
Currently, industrial sectors are transforming their business processes into
e-services and component-based architectures to build flexible, robust, and
scalable systems, and reduce integration-related maintenance and development
costs. Robotics is yet another promising and fast-growing industry that deals
with the creation of machines that operate in an autonomous fashion and serve
for various applications including space exploration, weaponry, laboratory
research, and manufacturing. It is in space exploration that the most common
type of robots is the planetary rover which moves across the surface of a
planet and conducts a thorough geological study of the celestial surface. This
type of rover system is still ad-hoc in that it incorporates its software into
its core hardware making the whole system cohesive, tightly-coupled, more
susceptible to shortcomings, less flexible, hard to be scaled and maintained,
and impossible to be adapted to other purposes. This paper proposes a
service-oriented architecture for space exploration robotic rover systems made
out of loosely-coupled and distributed web services. The proposed architecture
consists of three elementary tiers: the client tier that corresponds to the
actual rover; the server tier that corresponds to the web services; and the
middleware tier that corresponds to an Enterprise Service Bus which promotes
interoperability between the interconnected entities. The niche of this
architecture is that rover's software components are decoupled and isolated
from the rover's body and possibly deployed at a distant location. A
service-oriented architecture promotes integrate-ability, scalability,
reusability, maintainability, and interoperability for client-to-server
communication.Comment: LACSC - Lebanese Association for Computational Sciences,
http://www.lacsc.org/; International Journal of Science & Emerging
Technologies (IJSET), Vol. 3, No. 2, February 201
Making Medical Homes Work: Moving From Concept to Practice
Explores practical considerations for implementing a medical home program of physician practices committed to coordinating and integrating care based on patient needs and priorities, such as how to qualify medical homes and how to match patients to them
Interoperability and FAIRness through a novel combination of Web technologies
Data in the life sciences are extremely diverse and are stored in a broad spectrum of repositories ranging from those designed for particular data types (such as KEGG for pathway data or UniProt for protein data) to those that are general-purpose (such as FigShare, Zenodo, Dataverse or EUDAT). These data have widely different levels of sensitivity and security considerations. For example, clinical observations about genetic mutations in patients are highly sensitive, while observations of species diversity are generally not. The lack of uniformity in data models from one repository to another, and in the richness and availability of metadata descriptions, makes integration and analysis of these data a manual, time-consuming task with no scalability. Here we explore a set of resource-oriented Web design patterns for data discovery, accessibility, transformation, and integration that can be implemented by any general- or special-purpose repository as a means to assist users in finding and reusing their data holdings. We show that by using off-the-shelf technologies, interoperability can be achieved atthe level of an individual spreadsheet cell. We note that the behaviours of this architecture compare favourably to the desiderata defined by the FAIR Data Principles, and can therefore represent an exemplar implementation of those principles. The proposed interoperability design patterns may be used to improve discovery and integration of both new and legacy data, maximizing the utility of all scholarly outputs
Report on the EHCR (Deliverable 26.2)
This deliverable is the second for Workpackage 26. The first, submitted after
Month 12, summarised the areas of research that the partners had identified as
being relevant to the semantic indexing of the EHR. This second one reports
progress on the key threads of work identified by the partners during the project to
contribute towards semantically interoperable and processable EHRs.
This report provides a set of short summaries on key topics that have emerged as
important, and to which the partners are able to make strong contributions. Some of
these are also being extended via two new EU Framework 6 proposals that include
WP26 partners: this is also a measure of the success of this Network of Excellence
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