def map_pub(doi, meta, author_uri):
g = Graph()
author_uri = D[author_uri] #URIRef(author_uri)
pub_local_name = hash_uri('pub' + doi + author_uri)
publication_uri = D[pub_local_name]
#pub metadata
g.add( (publication_uri, RDF.type, BIBO.Document) )
g.add( (publication_uri, RDFS.label, Literal(meta['title'])) )
g.add( (publication_uri, BIBO.doi, Literal(doi)) )
#authorhsip uri - create hash of these strings.
local_name = hash_uri('aship' + doi + author_uri)
authorship_uri = D[local_name]
g.add( (authorship_uri, RDF.type, VIVO.Authorship) )
g.add( (authorship_uri, VIVO.relates, publication_uri) )
g.add( (authorship_uri, VIVO.relates, author_uri) )
return g
"@type": "@id"
}
}
}
positions = []
with open(sys.argv[1]) as infile:
for count, row in enumerate(csv.DictReader(infile)):
fac_id = row['person_ID']
org_id = row['department_ID']
title = row['job_title']
#Create a hash local name for use in the URI.
uri_parts = "{}{}{}".format(fac_id, org_id, title)
position_uri = hash_uri(uri_parts, prefix='pos')
pos = {}
pos['uri'] = position_uri
pos['a'] = 'vivo:FacultyPosition'
pos['label'] = title
#Multiple relation statements as list.
pos['relates'] = [
'fac{}'.format(fac_id),
'org{}'.format(org_id)
]
pos.update(pos_ctx)
positions.append(pos)
"@type": "@id"
}
}
}
positions = []
with open(sys.argv[1]) as infile:
for count, row in enumerate(csv.DictReader(infile)):
fac_id = row['person_ID']
org_id = row['department_ID']
title = row['job_title']
#Create a hash local name for use in the URI.
uri_parts = "{}{}{}".format(fac_id, org_id, title)
position_uri = hash_uri(uri_parts, prefix='pos')
pos = {}
pos['uri'] = position_uri
pos['a'] = 'vivo:FacultyPosition'
pos['label'] = title
#Multiple relation statements as list.
pos['relates'] = ['fac{}'.format(fac_id), 'org{}'.format(org_id)]
pos.update(pos_ctx)
positions.append(pos)
raw_jld = json.dumps(positions)
g = Graph().parse(data=raw_jld, format='json-ld')
g.namespace_manager = ns_mgr
print g.serialize(format='turtle')