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De-duplicating the OpenAIRE scholarly communication big graph

Conference Paper
Publication Date:
2018
abstract:
The OpenAIRE infrastructure populates a scholarly communication big graph interlinking metadata objects of publications, datasets, software, organizations, funders, and projects. In order to de-duplicate this graph, OpenAIRE has developed GDup, an integrated, scalable, general-purpose system for entity deduplication over big information graphs. GDup offers functionalities to realize a hilly-fledged entity deduplication workflow over a generic input graph, inclusive of Ground Truth support, end-user feedback, and strategies for identifying and merging duplicates to obtain an output disambiguated graph.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Deduplication; Graph; Big data; Scholarly communication; OpenAIRE
List of contributors:
Manghi, Paolo; Bardi, Alessia; Atzori, Claudio
Authors of the University:
ATZORI CLAUDIO
BARDI ALESSIA
MANGHI PAOLO
Handle:
https://iris.cnr.it/handle/20.500.14243/392479
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/392479/138097/prod_402402-doc_139937.pdf
  • Overview

Overview

URL

https://ieeexplore.ieee.org/document/8588723
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