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Reuse of Semantic Models for Emerging Smart Grids Applications [article]

Valentina Janev, Dušan Popadić, Dea Pujić, Maria Esther Vidal, Kemele Endris
2021 arXiv   pre-print
The ambition is to innovate the Institute Mihajlo Pupin proprietary SCADA system and to enable integration of the Institute Mihajlo Pupin services and applications in the European Union (EU) Energy Data  ...  Despite the great potential that IoT platforms and other big data-driven technologies have brought in the energy sector, data exchange and data integration are still not wholly achieved.  ...  ACKNOWLEDGMENT This work has been partially supported by the EU  ... 
arXiv:2107.06999v1 fatcat:stnym7nw6rd2dmpntk77x5qrba

The SELIS approach to delivering a 'Platform for Pan-European Logistics Applications'

Ioanna Fergadioti, Panayiotis Katsoulakos, Pat O Sullivan, Yannis Zorgios
2018 Zenodo  
Also, until now, developments have been driven by the business interests of different stakeholders' groups, including shippers, freight forwarders, ports and terminals, different mode carriers, and multiple  ...  This paper explores several factors that influence the behaviour of transport and logistics companies in Europe and proposes an innovative "shared intelligence" approach, technology platform and collaborative  ...  in the knowledge graph. • SELIS incorporate, adapt and configure existing innovative state of the art Big-Data Machine Learning Frameworks to produce a range of Descriptive & Predictive Queries utilized  ... 
doi:10.5281/zenodo.1441159 fatcat:h3pgfjxv6vaernb46oe23m6ut4

A 'rule of 3' to revive Greek science, research and innovation

George Kollias, John D Lambris
2015 Nature Immunology  
It also takes in promotion of public procurement for innovative products and services.  ...  The graph below enables a comprehensive comparison of France's position regarding the indicator's different components: France ranks eighth in the European innovation indicator.  ...  Máire Geoghegan-Quinn European Commissioner for Research, Innovation and Science Research and Innovation policy  ... 
doi:10.1038/ni.3322 pmid:26580499 fatcat:7n2kosfprjhwvi73wuuqnnxnri

Position Paper: Open Innovation in Horizon Europe [article]

Natalia Konchakova, Peter Klein, Elefterios Lidorikis, Argiris Laskarakis, Welchy Leite Cavalcanti, Jesper Friis
2022 Zenodo  
Horizon Europe framework program into Open Innovation Frameworks, compliant with the European Open Science Cloud initiatives and the European headline ambitions published by the European Commission.  ...  This position paper summarizes the ideas of the three Horizon 2020 projects VIPCOAT, MUSICODE and OpenModel, running under call DT-NMBP-11-2020, on how to extend the concept of Open Innovation under the  ...  data and data management, including distributed Knowledge Graph technologies − Allow systematic data-driven, bottom-up construction of surrogate models (emulators) − Focus on Verification, Validation,  ... 
doi:10.5281/zenodo.5848551 fatcat:rn555soy7nasthopglrlk752by

Data Economy 2.0: From Big Data Value to AI Value and a European Data Space [chapter]

Sonja Zillner, Jon Ander Gomez, Ana García Robles, Thomas Hahn, Laure Le Bars, Milan Petkovic, Edward Curry
2021 The Elements of Big Data Value  
The chapter describes the European AI framework as a foundation for deploying AI successfully and the critical need for a common European data space to power this vision.  ...  From a data economy point of view, AI means algorithm-based and data-driven systems that enable machines with digital capabilities such as perception, reasoning, learning and even autonomous decision making  ...  Cross-Sectorial AI, Data and Robotics Technology Enablers The last part of the framework is the technology enablers for building successful AI products and services.  ... 
doi:10.1007/978-3-030-68176-0_16 fatcat:n7fgc76zbfbznm4npmt3iis7si

Predictive Modeling for Optimization of Field Operations in Bike-Sharing Systems

Simon Ruffieux, Elena Mugellini, Omar Abou Khaled
2019 2019 6th Swiss Conference on Data Science (SDS)  
Customers worldwide use innovative software and services from SAS to transform data into knowledge and make intelligent business decisions.  ...  SSS www.stat.ch The Swiss Alliance for Data-Intensive Services is a technology network for innovative companies, academic institutes and individuals with a focus on data-driven value creation: services  ... 
doi:10.1109/sds.2019.00011 dblp:conf/sds2/RuffieuxMK19 fatcat:z5bcj6f2pjczvbwp4zooavn6ve

Big Data in the Media and Entertainment Sectors [chapter]

Helen Lippell
2016 New Horizons for a Data-Driven Economy  
enhanced products for the marketplace Business objectives -Offer innovative new products and services -Enable development in a more quantitative way than is currently possible Name Audience insight  ...  Products and Services: Big data-driven media businesses have the ability to publish content in more sophisticated ways.  ... 
doi:10.1007/978-3-319-21569-3_14 fatcat:3s73e3kmo5bmdmvvepprlbdqkm

Achieving Open Science in the European Open Science Cloud: Setting out OpenAIRE's vision and contribution to EOSC

Natalia Manola, Najla Rettberg, Paolo Manghi, Mike Mertens, Birgit Schmidt, Tobias Steiner, Prodromos Tsiavos, Eloi Rodrigues, Nina Karlstrom, Mojca Kotar
2019 Zenodo  
services and all scientific content (publications, data, software, methods), and to further evolve the ways in which researchers are able to collaborate.  ...  The European Open Science Cloud (EOSC) is Europe's undertaking to address the rising field of datadriven research in a more efficient way, to break down walls in existing siloed approaches for access to  ...  (PaaS) offer where users are enabled to create applications for low-level data management aspects Research enabling services: analytics, publishing, sharing and discovery services allowing data driven  ... 
doi:10.5281/zenodo.3610132 fatcat:vvb7osopjffghfwmd4yl7dmyhy

A Roadmap to Drive Adoption of Data Ecosystems [chapter]

Sonja Zillner, Laure Le Bars, Nuria de Lama, Simon Scerri, Ana García Robles, Marie Claire Tonna, Jim Kenneally, Dirk Mayer, Thomas Hahn, Södergård Caj, Robert Seidl, Davide Dalle Carbonare (+1 others)
2021 The Elements of Big Data Value  
To this end, the Big Data Value Public-Private Partnership (BDV PPP) was established to develop the European data ecosystem and enable data-driven digital transformation, delivering maximum economic and  ...  AbstractTo support the adoption of big data value, it is essential to foster, strengthen, and support the development of big data value technologies, successful use cases and data-driven business models  ...  agile business actors, delivering products, services and technology, and providing highly skilled data engineers, scientists and practitioners along the entire big data value chain.  ... 
doi:10.1007/978-3-030-68176-0_3 fatcat:2aaar4oo4nhy7jijfhuaggra4i

ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph

Sören Auer, Markus Stocker, Lars Vogt, Grischa Fraumann, Alexandra Garatzogianni
2021 Research Ideas and Outcomes  
This document is an edited version of the original funding proposal entitled 'ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph' that was submitted to the European  ...  The proposal was evaluated by five reviewers and has been placed after the evaluations on the reserve list. The main document of the original proposal did not contain an abstract.  ...  Grant title ORKG: Facilitating the Transfer of Research Results with the Open Research Knowledge Graph Hosting institution TIB Leibniz Information Centre for Science and Technology Ethics and security  ... 
doi:10.3897/rio.7.e68513 fatcat:uq44nrzqubdjrgioxjckpp7kgy

Uncovering Research Streams in the Data Economy Using Text Mining Algorithms

Can Azkan, Markus Spiekermann, Henry Goecke
2019 Technology Innovation Management Review  
The close integration of digital and physical products in combination with a vast amount of internally and externally available data enables data-driven service offerings for traditional products, as well  ...  This paper therefore defines "data economy" as an umbrella term, which includes digital business models independent of a particular industry, for example, data products and services, digital technologies  ...  Markus Spiekermann currently works as Head of Department "Data Business" at the Fraunhofer Institute for Software and Systems Engineering in Dortmund, Germany.  ... 
doi:10.22215/timreview/1284 fatcat:v3tg4qbbsfejljf3eizlli4cm4

Achieving Open Science in the European Open Science Cloud: Setting out OpenAIRE's vision and contribution to EOSC

Natalia Manola, Najla Rettberg, Paolo Manghi, Mike Mertens, Birgit Schmidt, Tobias Steiner, Prodromos Tsiavos, Eloi Rodrigues, Nina Karlstrom, Mojca Kotar
2019 Zenodo  
services and all scientific content (publications, data, software, methods), and to further evolve the ways in which researchers are able to collaborate.  ...  The European Open Science Cloud (EOSC) is Europe's undertaking to address the rising field of datadriven research in a more efficient way, to break down walls in existing siloed approaches for access to  ...  (PaaS) offer where users are enabled to create applications for low-level data management aspects Research enabling services: analytics, publishing, sharing and discovery services allowing data driven  ... 
doi:10.5281/zenodo.3460466 fatcat:rskjlbn3jraetont6mbqyenwaa

Achieving Open Science in the European Open Science Cloud: Setting out OpenAIRE's vision and contribution to EOSC

Natalia Manola, Najla Rettberg, Paolo Manghi, Mike Mertens, Birgit Schmidt, Tobias Steiner, Prodromos Tsiavos, Eloi Rodrigues, Nina Karlstrom, Mojca Kotar
2019 Zenodo  
services and all scientific content (publications, data, software, methods), and to further evolve the ways in which researchers are able to collaborate.  ...  The European Open Science Cloud (EOSC) is Europe's undertaking to address the rising field of datadriven research in a more efficient way, to break down walls in existing siloed approaches for access to  ...  (PaaS) offer where users are enabled to create applications for low-level data management aspects -Research enabling services: analytics, publishing, sharing and discovery services allowing data driven  ... 
doi:10.5281/zenodo.3464469 fatcat:3nir6q3gljakremgcfbgapqipi

Managing Knowledge in Energy Data Spaces [article]

Valentina Janev, Maria-Esther Vidal, Kemele Endris, Dea Pujic
2021 arXiv   pre-print
The reference architecture model consists of four architectures related to business, security, data and service, and software aspects.  ...  Despite the great potential that big data-driven technologies can bring to the energy sector, general adoption is still lagging.  ...  Acknowledgements This work has been partially supported by the EU H2020 funded projects PLA-TOON (  ... 
arXiv:2107.01965v1 fatcat:yvrch75nrjb3nayt3uu2hnj3zy

An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications

Panagiotis Trakadas, Pieter Simoens, Panagiotis Gkonis, Lambros Sarakis, Angelos Angelopoulos, Alfonso P. Ramallo-González, Antonio Skarmeta, Christos Trochoutsos, Daniel Calvο, Tomas Pariente, Keshav Chintamani, Izaskun Fernandez (+5 others)
2020 Sensors  
Nowadays, datasets collected from shop floor assets and information technology (IT) systems are used in data-driven analytics efforts to support more informed business intelligence decisions.  ...  To this end, collaboration is understood as a multi-dimensional conceptual term that covers all important enablers for AI adoption in manufacturing contexts and is promoted in terms of business intelligence  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/s20195480 pmid:32987911 fatcat:evo2ltvh6jeyjbrh7tbxpsw5bm
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