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CLARA Knowledge Graph of licensed educational resources (Singleton properties)

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NIAID Data Ecosystem2026-05-01 收录
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https://zenodo.org/record/8108962
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CLARA This deposit is part of the CLARA project. The CLARA project aims to empower teachers in the task of creating new educational resources. And in particular with the task of handling the licenses of reused educational resources. The present deposit contains the RDF files created using an RDF mapping (RML) and a mapper (Morph-KGC). The files used as inputs can be found here. That pipeline can be found on Gitlab. The data used in that pipeline originate from X5GON, a European project aiming to generate and gather open educational resources. Content The present Knowledge Graph contains information about 45K educational resources and 135K subjects (extracted from DBpedia). That information contains  the author, its title and description the license, a URL to the resource itself, the language of the educational resource, its mimetype, and finally which subject it talks about, and to what extent. That extent is given by two scores, a PageRank score and a cosinus score (that were not calculated on our graph but during the X5GON project) A particularity of the Knowledge Graph is its heavy use of RDF reification, across large multi-valued properties. Other versions of the same deposit can be found using different reification models: Standard reification Named graphs RDF-star The Knowledge Graph also contains categories originating from DBpedia. They help precise the subjects that are also extracted from DBpedia. The deposit contains five types of files: Authors_[X].nt - Those contain the authors' nodes, their type, and name. ER_[X].nt - Those contain the educational resources and their information using singleton properties. categories_skos_[X].ttl - Those contain the hierarchy of DBpedia categories. categories_labels.ttl  - This file contains additional information about the categories. categories_article.ttl - This file contains the RDF triples that link the DBpedia subjects to the DBpedia categories.
创建时间:
2023-10-04
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