PUMA
Istituto di Informatica e Telematica     
Baglioni M. Analysis of DataCite for Paper - Dataset context propagation. Internal note, 2016.
 
 
Abstract
(English)
Scholarly communication graphs represent semantic relations between scientific products (papers, data, algorithms, etc), authors, organizations and research projects. In this context the aim is to find a way to measure the distance between papers and data (semantic correlation) to obtain a better data discovery. In fact, data metadata are poor, and the identification of a correlation distance between a paper (richer) and data allows to propagate the context (for example abstract) from the richer object to the other one
Subject context-propagation
DataCite
Scholarly communication
F.2 ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY


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