November 9, 2016


EEXCESS OASys  ProkiMed0 Linked Data for Prescriptive Analytics


In the last decade, Europe has conducted a tremendous effort to make cultural, educational and scientific resources publicly available. Although such massive amounts of culturally and scientifically rich content are available, the potential of its use for educational and scientific purposes remains largely untapped. One reason can be seen in current web content dissemination mechanisms which are dominated by a small number of large central hubs like major search engines (e.g. Google), social networks (e.g. Facebook) or online encyclopaedias (e.g. Wikipedia). In order to maintain their valuable services, those large hubs have to focus on commercially viable mainstream content. While cultural and scientific resources provide valuable and educational content, they cannot be considered as ‘mainstream’. Quite contrary, most of this can be considered as high-quality niche content for a rather small community and forms part of the so-called Long Tail. The Long Tail theory , first introduced by Chris Anderson, argues that in internet-based markets, niche content adds up to a huge body of knowledge, but is hidden from most users. In the Long Tail, content is maintained and curated by a large number of small to medium-sized institutions such as memory organisations (e.g. archives and museums), national and digital libraries and open educational repositories. However, the few large Web hubs hardly support the dissemination of this Long Tail content leaving a gap for bringing cultural and scientific wealth into educational and scientific processes.

More about the project >>

eexcess2  eexcess


In the project „online request administration system“(OASys), requests concerning international research collaboration are submitted and managed via a token-based web application. This generic system meets all the requirements of its Bavarian university centers, consolidates the integrated data statistically and serves as a tool of visualization. Hence it is possible to export information regarding requests into Excel and present relevant documents by means of a complete digital record for research cooperations. Besides, this record can be made available to third parties. Within that file, it is possible to provide an overview over the financed institutions as well as details concerning various projects, evaluations and statistics including gender aspects, participating entities, distribution by addressing research topics, cost allocation etc.. They enable the visitor to have an interactive research map. The project is supported by the Bavarian State Ministry for Education and Culture, Science and Arts. In 2013, the first prototype was created for the Bavarian-French academic center and the project is managed by the Chair of Computer science with a focus on Distributed Information Systems led by Prof Dr. Harald Kosch. The Online Submission System has already been actively used by the BFHZ with positive feedback and covers all the countries marked in blue because of the utilisation in all Bavarian university centers and BayFOR (with their research programme BayIntAn). All those countries are addressed by Bavarian research programmes.



The telemedical project ProKimed0 incorporated into the children’s healthcare network of Eastern Bavaria unites paediatricians, medical and social establishments as well as regional authorities. Those organisms have set themselves the goal of promoting the prevention of psychological and medical illnesses and ensuring paediatric and adolescent advisory in the region. In the telemedical project, information and communication technologies are developed and tested in order to make a sustainable contribution towards the security of paediatric supplies in rural areas. They are characterized in particular by their model character.

One of the objectives of the project is therefore to improve networking for both inpatients and outpatients in order to optimize diagnostic, medical and therapeutic processes. Besides, the project aims to counteract medical errors as well as the loss of knowledge due to the fluctuation of doctors. Furthermore, it focuses on fighting medical errors by the application of a common base of medical standards. The project coordinators of ProKimed0 are the children’s hospital Dritter Orden Passau in cooperation with the University of Passau. The project will be supported for two years by the Bavarian State Ministry of Environment and Health.

More about the project >>


Linked Data for Prescriptive Analytics

Linked Data for Prescriptive Analytics

IRIXYS has been working since 2015 on the project « Linked Data for Prescriptive Analytic » with the industrial partner Atos Worldline, specialist in fraud detection in e-payments using Linked Open Data within the AïDA consortium (Artificial Intelligence for Data Analytics). The research works focus on the contextualization of learning methods for real-time problems related to credit card fraud.

Beside the INSA Lyon, the University of Passau and the University of Milan, the other academic partners involved in the project are the University of Saint-Etienne (Hubert Curien Research lab) and the Université Libre de Bruxelles (Machine Learning Group).

This project will continue until August 2018.

Other projects of the IRIXYS members can be found on following links:

  • University of Passau 
    • Chair of Data Science >>
    • Chair of Distributed Information Systems >>
  • Università degli Studi di Milano
    • SESAR Lab >>
  • INSA Lyon
    • LIRIS, DRIM Team >>