Digital Representation of Rights for Language Resources

نویسندگان

  • Victor Rodriguez-Doncel
  • Penny Labropoulou
چکیده

Language resources are very often valuable assets which are offered to the public under the terms of licenses that determine which uses are allowed and under which circumstances. These licenses have been typically published as natural language texts whose specific contents cannot be easily processed by a computer. This paper proposes a structured representation for the most commonly used licenses for language resources, reusing existing vocabularies and extending the Open Digital Rights Language core model. Examples and guidelines to use the ‘Rights Information for Language Resources’ vocabulary are given.

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تاریخ انتشار 2015