Suchergebnisse

This deliverable summarizes, validates and explains the purpose and concept behind the RAGE knowledge and innovation management platform as a self-sustainable Ecosystem, supporting innovation processes in the Applied Gaming (AG) industry. The Ecosystem portal will be developed with particular consideration of the demand and requirements of small and medium sized game developing companies, education providers and related stakeholders like AG researchers and AG end-users. The innovation potential of the new platform underlies the following factors: a huge, mostly entire collection of community specific knowledge (e.g., content like media objects, software components and best practices), a structured approach of knowledge access, search and browse, collaboration tools as well as social network analysis tools to foster efficient knowledge creation and transformation processes into marketable technology assets. The deliverable provides an overview of the current status and the remaining work to come, preceding the final version in month 48 of the RAGE project. ; This study is part of the RAGE project. The RAGE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains.

Görzig, H., Engel, F., Brocks, H., Vogel, T. & Hemmje, M. (2015, August). Towards Data Management Planning Support for Research Data. Paper presented at the ASE International Conference on Data Science, Stanford, United States of America. ; This paper outlines challenges and requirements for developing tools and services supporting automated generation, management, evolution, and execution of Data Management Plans (DMPs) by reviewing Research Data Management (RDM) processes represented by Knowledge-based and Process-oriented Innovation Management (German: Wissenbasiertes Prozess-orientiertes Innovationsmanagement, WPIM). Based on this representation Data Management Rules (DMRs) will be derived to support the Integrated Rule-Oriented Data System (iRODS). In this way, compliance with the Open Archive Information System (OAIS) and packaging the relevant context information related to a data object is supported in a serialization using the Open Archives Initiative Object Reuse and Exchange (OAI-ORE) format specification. ; This study is part of the RAGE project. The RAGE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains.

Paper presented at the Cloud Forward Conference 2015, October 6th-8th, Pisa ; The organized capturing and sharing of knowledge is very important, and a lot of tools, such as wikis, social communities and knowledge-management or e-learning portals, exist for supporting this purpose. The community content- and knowledge-capturing, management and sharing portal of the European project "Realising an Applied Gaming Eco-system" (RAGE) combines such tools. The goal of the RAGE project is to boost the collaborative knowledge asset management for software development in European applied gaming (AG) research and development (R&D). To support this process, the so-called RAGE ecosystem implements a portal to support the related asset, content and knowledge exchange between diverse actors in AG communities. Therefore, the community portal in RAGE is designed as a so-called ecosystem and is intended to provide its users different tools for the capturing, management, and sharing of knowledge. In this study, we rely on the term and model definition of spiraling knowledge exchange between explicit and tacit knowledge given by Nonaka and Takeuchi.1 To achieve the goal of extracting, i.e., externalizing and explicitly representing and sharing this knowledge to its users, we propose to generate a taxonomy for faceted search automatically by extracting named entities form the knowledge sources and to classify documents using Support Vector Machines (SVM). In this paper we present our architectural approach for the NLP-based IR concepts and discuss how cloud services based on data distribution and cloud computing can improve the outcome of our system. ; This study is part of the RAGE project. The RAGE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains.

Salman, M. et al. (2016). Integrating Scientific Publication into an Applied Gaming Ecosystem. GSTF Journal on Computing (JoC), Volume 5 (Issue 1), pp. 45-51. ; The European (EU)-based industry for non-leisure games (so called Applied Games, AGs) is an emerging business. As such it is still fragmented and needs to achieve critical mass to compete globally. Nevertheless, its growth potential is widely recognized and even suggested to exceed the growth potential of the leisure games market. The European project Realizing an Applied Gaming Ecosystem (RAGE) is aiming at supporting this challenge. RAGE will help to seize these opportunities by making available an interoperable set of advanced Applied Game (AG) technology assets, as well as proven practices of using such AG assets in various real-world contexts. As described in [1], RAGE will finally provide a centralized access to a wide range of applied gaming software modules, relevant information, knowledge and community services, and related scientific documents, taxonomies, media, and educational resources within an online community portal called the RAGE Ecosystem. Besides this, an integration between the RAGE Ecosystem and relevant social network interaction spaces that arranges and facilitates collaboration that underlie Research and Development (R&D), as well as marketoriented innovation and exploitation will be created in order to support community building, as well as collaborative asset exploitation of User Generated Contents (UGCs) of the RAGE Ecosystem. In this paper, we will describe the integration of the Scientific Publication Platform (SPP) Mendeley [2] into the RAGE Ecosystem. This will allow for automating repetitive tasks, reducing errors, and speeding up time consuming tasks. On the other hand it will support information, UGC, and knowledge sharing, as well as persistency of social interaction threads within Social Networking Sites (SNSs) and Groupware Systems (GWSs) that are connected to the RAGE Ecosystem. The paper reviews relevant use cases and scenarios, as well as related authentication, access, and information integration challenges. In this way, on the one hand a qualitative evaluation regarding an optimal technical integration is facilitated while on the other hand design approaches for supporting features of resulting user interfaces are initiated. ; This study is part of the RAGE project. The RAGE project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 644187. This publication reflects only the author's view. The European Commission is not responsible for any use that may be made of the information it contains.

The effective preservation of both current and historical scientific data will underpin a multitude of ecological, economic and political decisions that shape the future of our society. The SCIDIP-ES project addresses the long-term preservation of the knowledge encoded in scientific data by providing preservation e- infrastructure services which support the persistent storage, access and management needs. Using exemplars from the Earth Science domain we highlight the key preservation challenges and barriers to be overcome by the SCIDIP-ES infrastructure. SCIDIP-ES augments existing science data e-infrastructures by adding specific services and toolkits which implement core preservation concepts, thus guaranteeing the long-term access and exploitation of data assets across and beyond their designated communities.