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329 | class NHMDCATProfile(RDFProfile):
"""
An RDF profile for the NHM.
http://www.w3.org/2011/gld/wiki/Data_Catalog_Vocabulary/Recipes
http://rdf-vocabulary.ddialliance.org/discovery.html
"""
def _get_update_frequency_code(self, frequency):
freq_codes = {
'daily': 'D',
'weekly': 'W',
'monthly': 'M',
'quarterly': 'Q',
'annual': 'A',
}
try:
return f'freq-{freq_codes[frequency]}'
except KeyError:
return None
@staticmethod
def user_uri(user_id):
return f'{catalog_uri().rstrip("/")}/user/{user_id}'
def get_context(self):
"""
Set up context.
:returns: context dict
"""
user = toolkit.get_action('get_site_user')({'ignore_auth': True}, {})
context = {'user': user['name']}
return context
def graph_from_dataset(self, dataset_dict, dataset_ref):
namespaces = {
'dc': DC,
'dcat': DCAT,
'adms': ADMS,
'vcard': VCARD,
'foaf': FOAF,
'schema': SCHEMA,
'time': TIME,
'skos': SKOS,
'locn': LOCN,
'gsp': GSP,
'owl': OWL,
'tdwgi': TDWGI,
'aiiso': AIISO,
'mads': MADS,
'void': VOID,
'cc': CC,
'org': ORG,
}
g = self.g
context = self.get_context()
# Add some more namespaces
for prefix, namespace in namespaces.items():
g.bind(prefix, namespace)
# Add #dataset to the dataset URI to denote the conceptual object - the actual dataset
# Without #dataset is the metadata - and that needs CC0 for BBC res
dataset_uri = URIRef(dataset_ref + '#dataset')
# Add dataset description (NB: This isn't the dataset - this is the dataset metadata)
dataset_metadata_uri = URIRef(dataset_ref)
g.add((dataset_metadata_uri, RDF.type, VOID.DatasetDescription))
g.add((dataset_metadata_uri, CC.license, URIRef(METADATA_LICENCE)))
# This metadata describes #dataset
g.add((dataset_metadata_uri, FOAF.primaryTopic, dataset_uri))
# If it is possible to access the RDF via dataset name, not uuid
# In which case add a sameAs for the dataset name uri
if dataset_dict['name'] in toolkit.request.environ.get('CKAN_CURRENT_URL'):
alt_dataset_uri = (
f'{catalog_uri().rstrip("/")}/dataset/{dataset_dict["name"]}'
)
# Add a sameAs link
g.add((dataset_metadata_uri, OWL.sameAs, URIRef(alt_dataset_uri)))
# And now we can describe the dataset itself
g.add((dataset_uri, RDF.type, DCAT.Dataset))
# Basic fields
items = [
('title', DC.title, None, Literal),
('url', DCAT.landingPage, None, URIRef),
]
self._add_triples_from_dict(dataset_dict, dataset_uri, items)
if dataset_dict.get('notes', None):
g.add((dataset_uri, DCAT.description, Literal(dataset_dict['notes'])))
# Add DOI
doi = dataset_dict.get('doi', None)
if doi:
g.set((dataset_uri, DC.identifier, URIRef(doi)))
# Tags
for tag in dataset_dict.get('tags', []):
g.add((dataset_uri, DCAT.keyword, Literal(tag['name'])))
# Dates
items = [
('issued', DC.issued, ['metadata_created'], Literal),
('modified', DC.modified, ['metadata_modified'], Literal),
]
self._add_date_triples_from_dict(dataset_dict, dataset_uri, items)
# We don't have maintainers - whoever added it to the portal is the maintainer
creator_user_id = dataset_dict['creator_user_id']
user = toolkit.get_action('user_show')(
context,
{
'id': creator_user_id,
},
)
# Add publisher
nhm_uri = self.graph_add_museum()
if user:
# if this is the admin user, just add the contactPoint
if user['sysadmin'] and user['name'] == 'admin':
g.add((dataset_uri, DCAT.contactPoint, nhm_uri))
else:
user_uri = URIRef(self.user_uri(creator_user_id))
g.add((user_uri, RDF.type, VCARD.Person))
if 'fullname' in user:
g.add((user_uri, VCARD.fn, Literal(user['fullname'])))
if 'email' in user:
g.add((user_uri, VCARD.hasEmail, URIRef(user['email'])))
# All users are members of the NHM
g.add((user_uri, MADS.hasAffiliation, nhm_uri))
# This user is the contact point for the dataset
g.add((dataset_uri, DCAT.contactPoint, user_uri))
# Add update frequency
update_frequency = dataset_dict.get('update_frequency', None)
if update_frequency:
code = self._get_update_frequency_code(update_frequency)
if code:
g.set((dataset_uri, DC.accrualPeriodicity, URIRef(SDMX_CODE[code])))
# Add licence - use URL if we have it
# Otherwise try using the licence title
if dataset_dict.get('license_url', None):
g.set((dataset_uri, DC.license, URIRef(dataset_dict['license_url'])))
elif dataset_dict.get('license_title', None):
g.set((dataset_uri, DC.license, Literal(dataset_dict['license_title'])))
# Add categories
# Create concept schema for all categories, add link any related to the dataset
for category in dataset_dict['dataset_category']:
# print category
n = BNode()
g.add((n, rdflib.RDF.type, SKOS.Concept))
g.add((n, SKOS.prefLabel, Literal(category)))
g.add((dataset_uri, DCAT.theme, n))
# Temporal extent
temporal_extent = dataset_dict.get('temporal_extent', None)
if temporal_extent:
g.add((dataset_uri, DC.temporal, Literal(temporal_extent)))
author = dataset_dict.get('author', None)
if author:
if author == 'Natural History Museum':
g.add((dataset_uri, DC.creator, nhm_uri))
else:
author_details = BNode()
g.add((author_details, VCARD.fn, Literal(author)))
if dataset_dict.get('author_email', None):
g.add(
(
author_details,
VCARD.hasEmail,
Literal(dataset_dict['author_email']),
)
)
g.add((author_details, RDF.type, VCARD.Person))
g.add((dataset_uri, DC.creator, author_details))
affiliation = dataset_dict.get('affiliation', None)
if affiliation:
if affiliation == 'Natural History Museum':
g.add((author_details, MADS.hasAffiliation, nhm_uri))
else:
g.add(
(author_details, MADS.hasAffiliation, Literal(affiliation))
)
contributors = dataset_dict.get('contributors', None)
if contributors:
g.add((dataset_uri, DC.contributor, Literal(contributors)))
self.graph_add_resources(dataset_uri, dataset_dict)
def graph_add_museum(self):
g = self.g
nhm_uri = URIRef('http://nhm.ac.uk')
g.add((nhm_uri, RDF.type, ORG.Organization))
g.add((nhm_uri, RDF.type, FOAF.Organization))
# Update the name
g.set((nhm_uri, FOAF.name, Literal('Natural History Museum')))
# # Add TDWG institution details - http://rs.tdwg.org/ontology/voc/Institution
g.set((nhm_uri, TDWGI.acronymOrCoden, Literal('NHMUK')))
g.set(
(
nhm_uri,
TDWGI.institutionType,
URIRef('http://rs.tdwg.org/ontology/voc/InstitutionType#museum'),
)
)
# Add AIISO institution
g.add((nhm_uri, RDF.type, AIISO.Institution))
# Add same as link
g.add(
(
nhm_uri,
OWL.sameAs,
URIRef('http://dbpedia.org/resource/Natural_history_museum'),
)
)
g.add((nhm_uri, OWL.sameAs, URIRef('https://www.wikidata.org/wiki/Q309388')))
return nhm_uri
def graph_add_resources(self, dataset_uri, dataset_dict):
g = self.g
for resource_dict in dataset_dict.get('resources', []):
distribution = URIRef(resource_uri(resource_dict))
g.add((dataset_uri, DCAT.distribution, distribution))
# As we don't allow direct download of the data, we need to add landing page
# To dataset - see http://www.w3.org/TR/vocab-dcat/#example-landing-page
g.add((dataset_uri, DCAT.landingPage, distribution))
g.add((distribution, RDF.type, DCAT.Distribution))
# Simple values
items = [
('name', DC.title, None, Literal),
('description', DC.description, None, Literal),
('status', ADMS.status, None, Literal),
('rights', DC.rights, None, Literal),
('license', DC.license, None, Literal),
]
self._add_triples_from_dict(resource_dict, distribution, items)
# Format
if '/' in resource_dict.get('format', ''):
g.add((distribution, DCAT.mediaType, Literal(resource_dict['format'])))
else:
if resource_dict.get('format'):
g.add(
(distribution, DC['format'], Literal(resource_dict['format']))
)
if resource_dict.get('mimetype'):
g.add(
(
distribution,
DCAT.mediaType,
Literal(resource_dict['mimetype']),
)
)
g.set((distribution, DCAT.accessURL, distribution))
# Dates
items = [
('issued', DC.issued, None, Literal),
('modified', DC.modified, None, Literal),
]
self._add_date_triples_from_dict(resource_dict, distribution, items)
# Numbers
if resource_dict.get('size'):
try:
g.add(
(
distribution,
DCAT.byteSize,
Literal(float(resource_dict['size']), datatype=XSD.decimal),
)
)
except (ValueError, TypeError):
g.add((distribution, DCAT.byteSize, Literal(resource_dict['size'])))
|