CORE - Semantic Similarity of Open Access publications

The CORE dataset contains information about similarities between scientific papers stored across Open Access repositories. The similarities are calculated using Natural Language Processing techniques based on the full-text. The similarities are provided only for research articles with an accessible and machine readable full-text. More information about the data structure can be found at:http://core-project-local.kmi.open.ac.uk/data-description.

RDF Statistics

At the moment we expose more than 92 million RDF triples describing similarities calculated on a set of more than 400k full-text articles harvested from over 230 Open Access repositories.

Links

The data about the similarities are represented using the MuSIM ontology (http://kakapo.dcs.qmul.ac.uk/ontology/musim/0.2/musim.html) BIBO ontologies (http://bibliontology.com/) with links to the OAI (RKBExplorer) repository available in the Linked Data cloud.

Download Data Package

Data and Resources

SPARQL endpoint api/sparql
SPARQL endpoint for CORE data

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Example Resourceexample/rdf+xml
Example of a document resource and a simNode resource.

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Download data (application/rdf+xml)RDF
Main part of the dataset

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RDF Example Linkexample/rdf+xml
RDF example link to OAI

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voiDmeta/void
voiD Description of the CORE Dataset

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Data structure diagramPNG
Diagram of example RDF instance data.

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Additional Info

Field	Value
Source	http://core-project.kmi.open.ac.uk/
Author	Petr Knoth
Maintainer
Version	1.0
Last Updated	July 30, 2016, 07:28 (UTC)
Created	July 13, 2011, 21:44 (UTC)
links:rkb-explorer-oai	200000
namespace	http://core.kmi.open.ac.uk/data/
shortname	CORE
triples	101526714