Information Inference in Scholarly Communication Infrastructures: The OpenAIREplus Project Experience
Authors: 
Mateusz Kobos
Authors: 
Łukasz Bolikowski
Authors: 
Marek Horst
Authors: 
Paolo Manghi
Authors: 
Natalia Manola
Authors: 
Jochen Schirrwagen
Date published: 
2014
Published In: 
Procedia Computer Science Volume 38, 2014, Pages 92–99. 10th Italian Research Conference on Digital Libraries, IRCDL 2014
Τύπος: 
Conference Article
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.

Σχετιζόμενα αρχεία: 

MaDgIK 2009-2016