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CORE (COnnecting REpositories)- Semantic Similarity Between Open Access Research Articles

Type

Dataset

Link

http://core-project.kmi.open.ac.uk/node/13

Source

Ckan.net

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. At the moment we expose more than 2.5 million RDF triples describing similarities calculated on a set of more than 50,000 full-text articles harvested from British Open Access repositories.

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

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