• Procedia Computer Science / In...

Treffer: Procedia Computer Science / Information Inference in Scholarly Communication Infrastructures: The OpenAIREplus Project Experience

Title:
Procedia Computer Science / Information Inference in Scholarly Communication Infrastructures: The OpenAIREplus Project Experience
Authors:
Kobos, Mateusz, Bolikowski, Łukasz, Horst, Marek, Manghi, Paolo, Manola, Natalia, Schirrwagen, Jochen
Publication Year:
2014
Subject Terms:
big data, data processing system, OpenAIRE infrastructure, data mining, text mining
Document Type:
Fachzeitschrift article in journal/newspaper
Language:
English
Relation:
vignette : https://noah.nrw/titlepage/urn/urn:nbn:de:0070-pub-27042128/128; ISI:000345438800015; system:bielefeld_pub_2704212
DOI:
10.1016/j.procs.2014.10.016
Availability:
https://nbn-resolving.org/urn:nbn:de:0070-pub-27042128
https://doi.org/10.1016/j.procs.2014.10.016
https://noah.nrw/doi/10.1016/j.procs.2014.10.016
Rights:
Urheberrechtsschutz
Accession Number:
edsbas.652D3E16
Database:
BASE

Weitere Informationen

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.