TY  - JOUR
AB  - 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.
DA  - 2014
DO  - 10.1016/j.procs.2014.10.016
KW  - big data
KW  - data processing system
KW  - OpenAIRE infrastructure
KW  - data mining
KW  - text mining
LA  - eng
M2  - 92
PY  - 2014
SN  - 1877-0509
SP  - 92-99
T2  - Procedia Computer Science
TI  - Information Inference in Scholarly Communication Infrastructures: The OpenAIREplus Project Experience
UR  - https://nbn-resolving.org/urn:nbn:de:0070-pub-27042128
Y2  - 2024-11-22T03:43:56
ER  -