R4R.rdfrdf

R4R is a light-weight ontology for representing general relationships of resource for publication and reusing. It asserts that a certain reusing context occurred and determined by its two basic relations, namely, isPackagedWith and isCitedBy. The isPackagedWith relation declares the resource is ready to be reused by incorporating License and Provenance information. The cites relation is an exceptional to isCitedBy which occurs only two related objects cite each other at the same time. Five resource objects including article, data, code, provenance and license are major class concepts to represent in this ontology.

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R4R.ttlturtle

R4R is a light-weight ontology for representing general relationships of resource for publication and reusing. It asserts that a certain reusing context occurred and determined by its two basic relations, namely, isPackagedWith and isCitedBy. The isPackagedWith relation declares the resource is ready to be reused by incorporating License and Provenance information. The cites relation is an exceptional to isCitedBy which occurs only two related objects cite each other at the same time. Five resource objects including article, data, code, provenance and license are major class concepts to represent in this ontology.

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R4R URIfile

2013-12-25 : initial propose R4R as Relations for *Research*. 2014-09-12 : extend R4R as Relations for *Reusing*. 2015-05-12 : update of R4R - modified to map W3C Provenance terms. 2018-11-12 : revise namespace and terms of time:TemporalEntity for W3C

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R4R Use Case - 843,309 records with Dublin Core Markuprdf/turtle

In order to enhance the reuse value of existing datasets, it is now becoming a general practice to add semantic links among the records in a dataset, and to link these records to external resources. Use Case: 44,806,400 triples from 14 datasets (843,309 records) encoded with DC 15 elements.

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Use case: semantically refined version from 832,803 recordsrdf/turtle

In order to semantically enhance and enrich the reuse value of existing datasets, the use case encode several general and domain knowledge vocabularies, as well as links to external knowledge bases. Use case: 25,913,304 triples from 832,803 records semantically refined with domain knowledges.

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