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Ymittos Athens, Greece

Clements K.,University of Jyvaskyla | Pawlowski J.,Ruhr West University of Applied Sciences | Manouselis N.,Agro Know
Computers in Human Behavior | Year: 2015

Today, Open Educational Resources (OER) are commonly stored, used, adapted, remixed and shared within Learning object repositories (LORs) which have recently started expanding their design to support collaborative teaching and learning. As numbers of OER available freely keep on growing, many LORs struggle to find sustainable business models and get the users' attention. Previous studies have shown that Quality assurance of the LORs is a significant factor when predicting the success of the repository. Within the study, we analysed technology enhanced learning literature systematically regarding LORs' quality approaches and specific collaborative instruments. This paper's theoretical contribution is a comprehensive framework of LOR quality approaches (LORQAF) that demonstrates the wide spectrum of possible approaches taken and classifies them. The purpose of this study is to assist LOR developers in designing sustainable quality assurance approaches utilizing full the potential of collaborative quality assurance tools. © 2015. Source


Manouselis N.,Agro Know | Karagiannidis C.,University of Thessaly | Sampson D.G.,University of Piraeus
Proceedings - IEEE 14th International Conference on Advanced Learning Technologies, ICALT 2014 | Year: 2014

This paper examines how a layered evaluation framework proposed for adaptive systems (AS) can be applied in the case of recommender systems (RecSys). Our analysis indicates that implementing a layered-based evaluation has the potential to facilitate a more detailed and informed evaluation of RecSys, allowing researchers and developers to better understand how to improve them. © 2014 IEEE. Source


Sasaki F.,German Research Center for Artificial Intelligence | Gornostay T.,Tilde | Dojchinovski M.,InfAI | Osella M.,ISMB | And 4 more authors.
CEUR Workshop Proceedings | Year: 2015

This paper introduces the FREME project, a new Horizon 2020 innovation action. It aims at building an open framework of e-Services for multilingual and semantic enrichment of digital content, based on a reusable set of open Application Programme Interfaces and Graphical User Interfaces to FREME enrichment services. In addition, the paper discusses how the project deploys Linguistic Linked Data (LLD), especially existing LLD resources, LLD best practices and the LLD reference architecture. Source


Drakos A.,University of Alcala | Protonotarios V.,University of Alcala | Manouselis N.,Agro Know
F1000Research | Year: 2015

The agINFRA project (www.aginfra.eu) was a European Commission funded project under the 7th Framework Programme that aimed to introduce agricultural scientific communities to the vision of open and participatory data-intensive science. agINFRA has now evolved into the European hub for data-powered research on agriculture, food and the environment, serving the research community through multiple roles. Working on enhancing the interoperability between heterogeneous data sources, the agINFRA project has left a set of grid- and cloud- based services that can be reused by future initiatives and adopted by existing ones, in order to facilitate the dissemination of agricultural research, educational and other types of data. On top of that, agINFRA provided a set of domain-specific recommendations for the publication of agri-food research outcomes. This paper discusses the concept of the agINFRA project and presents its major outcomes, as adopted by existing initiatives activated in the context of agricultural research and education. © 2015 Drakos A et al. Source


Celli F.,Food and Agriculture Organization of the United Nations | Malapela T.,Food and Agriculture Organization of the United Nations | Wegner K.,Food and Agriculture Organization of the United Nations | Subirats I.,Food and Agriculture Organization of the United Nations | And 2 more authors.
F1000Research | Year: 2015

AGRIS is the International System for Agricultural Science and Technology. It is supported by a large community of data providers, partners and users. AGRIS is a database that aggregates bibliographic data, and through this core data, related content across online information systems is retrieved by taking advantage of Semantic Web capabilities. AGRIS is a global public good and its vision is to be a responsive service to its user needs by facilitating contributions and feedback regarding the AGRIS core knowledgebase, AGRIS's future and its continuous development. Periodic AGRIS e-consultations, partner meetings and user feedback are assimilated to the development of the AGRIS application and content coverage. This paper outlines the current AGRIS technical set-up, its network of partners, data providers and users as well as how AGRIS's responsiveness to clients' needs inspires the continuous technical development of the application. The paper concludes by providing a use case of how the AGRIS stakeholder input and the subsequent AGRIS e-consultation results influence the development of the AGRIS application, knowledgebase and service delivery. © 2015 Celli F et al. Source

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