BIP! Finder - Information Inference in Scholarly Communication Infrastructures: The OpenAIREplus Project Experience

2014 • Information Inference in Scholarly Communication Infrastructures: The OpenAIREplus Project Experience

Authors: Kobos, Mateusz; Bolikowski, Łukasz; Horst, Marek; Manghi, Paolo; Manola, Natalia; Schirrwagen, Jochen

Venue: Procedia Computer Science

Type: Publication

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 contextual... (read more)

Impact:

9.710722E-10 3.2965761E-9 3 2

/ Attention: 0 38

Topics: Data science Database

DOI: 10.1016/j.procs.2014.10.016

External links: Crossref OpenAIRE

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