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Information Inference in Scholarly Communication Infrastructures: The OpenAIREplus Project Experience

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.

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