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30 abr 2021 -
HESML V1R5 Java software library of ontology-based semantic similarity measures and information content models
Archivo ZIP - 143,3 MB -
MD5: 732ab8e8edd746b4705714fd638253bf
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30 abr 2021 -
HESML V1R5 Java software library of ontology-based semantic similarity measures and information content models
Adobe PDF - 227,4 KB -
MD5: a74d01c02d93c52ea0c2c5271148518e
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Sintasis R - 63,4 KB -
MD5: 286b156419070aa804bc233a6bb8b3b0
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application/mac-compactpro - 4,0 GB -
MD5: 3c74a196b4775bc558986f597bfa9f73
In order to obtain a decrypt password for this, you should sign and obtain a license for the National Library of Medicine (NLM) of the United States to use the UMLS Metathesaurus databases, as well as SNOMED-CT and MeSH ontologies included in this Docker image. For this purpose,... |
application/mac-compactpro - 73,9 MB -
MD5: 36dc6139142c18e2b50c5bd8fa573e5f
In order to obtain a decrypt password for this, you should sign and obtain a license for the National Library of Medicine (NLM) of the United States to use the UMLS Metathesaurus databases, as well as SNOMED-CT and MeSH ontologies included in this Docker image. For this purpose,... |
Adobe PDF - 437,8 KB -
MD5: 352489b0a4478adbde75ca4790159e7b
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application/mac-compactpro - 66,0 GB -
MD5: cf5d23e515313d35a1a3d959e0140ed9
In order to obtain a decrypt password for this, you should sign and obtain a license for the National Library of Medicine (NLM) of the United States to use the UMLS Metathesaurus databases, as well as SNOMED-CT and MeSH ontologies included in this Docker image. For this purpose,... |
Archivo Gzip - 573,0 KB -
MD5: f21249e966162907d8c08edeb7f1851a
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Archivo Gzip - 573,5 KB -
MD5: 53086a1feda2458b97dfad161fc256f5
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23 dic 2020
Toscano, Maurizio; Aitor Díaz, 2020, "Mapping digital humanities in Spain - 1993-2019", https://doi.org/10.5281/ZENODO.3893545
Mapping digital humanities in Spain (1993-2019) This dataset has been extensively analysed in the following paper https://doi.org/10.3145/epi.2020.nov.01 and has also been used for the following poster https://doi.org/10.5281/zenodo.4256689Dataset recolectado desde DataCite con autores de la UNED. El enlace le llevará directamente a los datos originales en dicho archivo. |