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author | Nicholas Car <nicholas.car@surroundaustralia.com> | 2022-01-24 10:48:29 +1000 |
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committer | GitHub <noreply@github.com> | 2022-01-24 10:48:29 +1000 |
commit | 4164e633e7d080c5d66e457309a8e9077be4ad79 (patch) | |
tree | 4ac71eea33ff84f61bda3deea38b76f698d65c27 | |
parent | c6e2fd7fd6758e52b239f155f604f9501ee4b4f8 (diff) | |
download | rdflib-default_prefixes.tar.gz |
Update docs/rdf_terms.rstdefault_prefixes
Co-authored-by: Iwan Aucamp <aucampia@gmail.com>
-rw-r--r-- | docs/rdf_terms.rst | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/rdf_terms.rst b/docs/rdf_terms.rst index 21f21c7e..51e1a9d7 100644 --- a/docs/rdf_terms.rst +++ b/docs/rdf_terms.rst @@ -209,7 +209,7 @@ Most simple literals such as *string* or *integer* have XML Schema (XSD) datatyp below. Additionally, these XSD datatypes are listed in the :class:`XSD Namespace class <rdflib.XSD>` that ships with RDFLib, so many Python code editors will prompt you with autocomplete for them when using it. -Remember, you don't *have* to use XSD datatype and can always make up your own, as GeoSPARQL does, as described above. +Remember, you don't *have* to use XSD datatypes and can always make up your own, as GeoSPARQL does, as described above. .. image:: /_static/datatype_hierarchy.png :alt: datatype hierarchy |