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De-duplicating the OpenAIRE Scholarly Communication Big Graph

被引：1
|
作者：
Atzori, Claudio [1 ]
Manghi, Paolo [1 ]
Bardi, Alessia [1 ]
机构：
[1] CNR, Ist Sci & Tecnol Informaz A Faedo, Via Moruzzi 1, Pisa, Italy
来源：
2018 IEEE 14TH INTERNATIONAL CONFERENCE ON E-SCIENCE (E-SCIENCE 2018) | 2018年
基金：
欧盟地平线“2020”;
关键词：
deduplication; graph; big data; scholarly communication; OpenAIRE;
D O I：
10.1109/eScience.2018.00104
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：372 / 373
页数：2
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