http://www.cnr.it/ontology/cnr/individuo/prodotto/ID293309
Information inference in scholarly communication infrastructures: the OpenAIREplus project experience (Articolo in rivista)
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- Label
- Information inference in scholarly communication infrastructures: the OpenAIREplus project experience (Articolo in rivista) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1016/j.procs.2014.10.016 (literal)
- Alternative label
Houssoss N., Jörg B., DvoÅ(TM)ák J., Príncipe P., Rodrigues E., Manghi P., Elbæk M. K. (2014)
Information inference in scholarly communication infrastructures: the OpenAIREplus project experience
in Procedia computer science; Elsevier, Amsterdam (Paesi Bassi)
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Houssoss N., Jörg B., DvoÅ(TM)ák J., Príncipe P., Rodrigues E., Manghi P., Elbæk M. K. (literal)
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- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- Special issue: 10th Italian Research Conference on Digital Libraries, IRCDL 2014
Grant agreement: 283595
Tipo Progetto: EU_FP7 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://www.sciencedirect.com/science/article/pii/S1877050914013763 (literal)
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- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Poland; Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Poland; Interdisciplinary Centre for Mathematical and Computational Modelling, University of Warsaw, Poland; Consiglio Nazionale delle Ricerche (CNR), Pisa, Italy; Department of Informatics and Telecommunications, University of Athens, Greece; Department of Library Technology and Knowledge Management, Bielefeld University, Germany (literal)
- Titolo
- Information inference in scholarly communication infrastructures: the OpenAIREplus project experience (literal)
- Abstract
- The Information Inference Framework presented in this paper provides a general-purpose suite of tools enabling the definition and execution of flexible and reliable data processing workflows whose nodes offer application-specific processing capabilities. The IIF is designed for the purpose of processing big data, and it is implemented on top of Apache Hadoop-related technologies to cope with scalability and high-performance execution requirements. As a proof of concept we will describe how the framework is used to support linking and contextualization services in the context of the OpenAIRE infrastructure for scholarly communication. (C) 2014 The Authors. Published by Elsevier B.V. (literal)
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