52 KiB
52 KiB
Mapping Pan-Latin Textile Fibres Vocabulary from spreadsheet to SKOS resources¶
This Notebook implements a simple parser used to transform the Pan-Latin Textile Fibres Vocabulary, developed within the Realiter network, and published as spreadsheets, into SKOS resources. The parser reads the spreadsheets and transforms the content in SKOS data following a set of mapping rules, the result is stored in two Turtle files.
In [1]:
import pandas as pd
import rdflib
import itertools
import yaml
import datetime
The file config.yaml contains the external information used in the parsing, including the position of the spreadsheets. Set the correct values before running the Notebook.
In [2]:
try:
with open("config-lessico.yaml", 'r') as stream:
try:
conf=yaml.safe_load(stream)
except yaml.YAMLError as exc:
print(exc)
except FileNotFoundError:
print('Warning config.yaml file not present! Please store it in the same directory as the notebook')
#print (conf)
The following cells defines the Namespaces used in the parsing
In [3]:
from rdflib.namespace import DC, DCAT, DCTERMS, OWL, \
RDF, RDFS, SKOS, \
XMLNS, XSD, XMLNS
from rdflib import Namespace
from rdflib import URIRef, BNode, Literal
pltextile = Namespace(conf['Namespaces']['TEXTILETERM'])
dc11=Namespace("http://purl.org/dc/elements/1.1/");
dct = Namespace("http://purl.org/dc/terms/")
iso369=Namespace("http://id.loc.gov/vocabulary/iso639-3");
Download Lessico spreadsheet and show it to check if the operation has been executed correctly
In [4]:
url=conf['Source']['LESSICOSOURCE']
df_data=pd.read_csv(url)
In [5]:
df_data.head()
Out[5]:
In [6]:
df_data.rename(columns = {'es [ARG]': 'es-arg', 'es [MEX]': 'es-mex', 'fr [CA]': 'fr-ca'}, inplace = True)
#df_data.head()
In [7]:
df_data.iloc[0].it.split('\n')[0].split(' ')[0]
Out[7]:
Create a graph for the SKOS data and bind the namespaces to it
In [23]:
c1rdf = rdflib.Graph()
c1rdf.bind("pltextile", pltextile)
c1rdf.bind("dc11", dc11)
c1rdf.bind("dct", dct)
c1rdf.bind("iso369-3", iso369)
c1rdf.bind("skos", SKOS)
c1rdf.bind("dc", DC)
c1rdf.bind("rdf", RDF)
c1rdf.bind("owl", OWL)
c1rdf.bind("xsd", XSD)
Insert in the graph the SKOS.ConceptScheme
In [24]:
now = datetime.datetime.today()
today_date=now.date()
title=Literal(conf['Texts']['LESSICOTITLE'], lang=conf['Texts']['LANG'])
description=Literal(conf['Texts']['LESSICODESCRIPTION'], lang=conf['Texts']['LANG'])
description_it=Literal(conf['Texts']['LESSICODESCRIPTION_IT'], lang='it')
identifier=Literal(conf['Texts']['LESSICOID'], lang=conf['Texts']['LANG'])
#identifier=URIRef(conf['Texts']['VOCABULARYID'])
createddate= Literal(conf['Texts']['LESSICOCREATEDATE'],datatype=XSD.date)
moddate= Literal(today_date,datatype=XSD.date)
version= Literal(conf['Texts']['LESSICOVERSION'],datatype=XSD.string)
c1rdf.add((pltextile[''], RDF.type, SKOS.ConceptScheme))
c1rdf.add((pltextile[''], DC.title, title))
c1rdf.add((pltextile[''], DC.identifier, identifier))
c1rdf.add((pltextile[''], DC.description, description))
c1rdf.add((pltextile[''], DC.description, description_it))
c1rdf.add((pltextile[''], dct.created, createddate))
c1rdf.add((pltextile[''], dct.modified, moddate))
c1rdf.add((pltextile[''], OWL.versionInfo, version))
c1rdf.add((pltextile[''], dct.language, iso369.eng))
c1rdf.add((pltextile[''], dct.language, iso369.es))
c1rdf.add((pltextile[''], dct.language, iso369.fra))
c1rdf.add((pltextile[''], dct.language, iso369.gl))
c1rdf.add((pltextile[''], dct.language, iso369.ita))
c1rdf.add((pltextile[''], dct.language, iso369.ro))
c1rdf.add((pltextile[''], dct.language, iso369.pt))
c1rdf.add((pltextile[''], dct.language, iso369.ca))
Out[24]:
In [25]:
#c1rdf.serialize(destination='data/skostest.rdf', format="n3");#format="pretty-xml")
#comrdf.serialize(destination='data/parsed_rdf/prima_cantica_forme_com.rdf', format="n3");
df_data.fillna('', inplace=True)
df_data.head()
Out[25]:
The following cell implements the mapping rules for creating SKOS resources.
In [26]:
#df_data.iloc[0].it.split('\n')[0].split(' ')[0]
for index, row in df_data.iterrows():
strlabel=row.it.split('\n')[0].split(' (')[0].strip()
label=strlabel.replace(" ", "_")
#label=URIRef(row.it.split('\n')[0].split(' (')[0].strip())
c1rdf.add((pltextile[''], SKOS.hasTopConcept, pltextile[label]))
frlabel=Literal(row["fr"].split('\n')[0].strip(), lang='fr')
fraltlabels=row["fr"].split('\n')[1:]
itlabel=Literal(row['it'].split('\n')[0].strip(), lang='it')
italtlabels=row["it"].split('\n')[1:]
calabel=Literal(row['ca'].split('\n')[0].strip(), lang='ca')
caaltlabels=row["ca"].split('\n')[1:]
eslabel=Literal(row['es'].split('\n')[0].strip(), lang='es')
esaltlabels=row["es"].split('\n')[1:]
gllabel=Literal(row['gl'].split('\n')[0].strip(), lang='gl')
glaltlabels=row["gl"].split('\n')[1:]
ptlabel=Literal(row['pt'].split('\n')[0].strip(), lang='pt')
ptaltlabels=row["pt"].split('\n')[1:]
rolabel=Literal(row['ro'].split('\n')[0].strip(), lang='ro')
roaltlabels=row["ro"].split('\n')[1:]
enlabel=Literal(row['en'].split('\n')[0].strip(), lang='en')
enaltlabels=row["en"].split('\n')[1:]
esarglabel=Literal(row['es-arg'].split('\n')[0].strip(), lang='es-ar')
esargaltlabels=row["es-arg"].split('\n')[1:]
#es-arg-mex
# esargmexarglabel=Literal(row['es-arg-mex'].split('\n')[0].strip(), lang='es-ar')
# esargmexmexlabel=Literal(row['es-arg-mex'].split('\n')[0].strip(), lang='es-mx')
# esargmexaltlabels=row["es-arg-mex"].split('\n')[1:]
esmexlabel=Literal(row['es-mex'].split('\n')[0].strip(), lang='es-mx')
esmexaltlabels=row["es-mex"].split('\n')[1:]
frcalabel=Literal(row['fr-ca'].split('\n')[0].strip(), lang='fr-ca')
frcaaltlabels=row["fr-ca"].split('\n')[1:]
#definition
itdef=Literal(row["DEF"].strip(), lang='it')
c1rdf.add((pltextile[label], RDF.type, SKOS.Concept))
c1rdf.add((pltextile[label], SKOS.inScheme, pltextile['']))
c1rdf.add((pltextile[label], SKOS.topConceptOf, pltextile['']))
for alab in esargaltlabels:
c1rdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='es-ar')))
# for alab in esargmexaltlabels:
# c1rdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='es-ar')))
# c1rdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='es-mx')))
for alab in esmexaltlabels:
c1rdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='es-mx')))
for alab in frcaaltlabels:
c1rdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='fr-ca')))
for alab in esaltlabels:
c1rdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='es')))
for alab in glaltlabels:
c1rdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='gl')))
for alab in ptaltlabels:
c1rdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='pt')))
for alab in roaltlabels:
c1rdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='ro')))
for alab in enaltlabels:
c1rdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='en')))
for alab in caaltlabels:
c1rdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='ca')))
for alab in fraltlabels:
#print ("tt "+alab)
c1rdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='fr')))
for alab in italtlabels:
c1rdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='it')))
if(frlabel):
c1rdf.add((pltextile[label], SKOS.prefLabel, frlabel))
if(itlabel):
c1rdf.add((pltextile[label], SKOS.prefLabel, itlabel))
if(gllabel):
c1rdf.add((pltextile[label], SKOS.prefLabel, gllabel))
if(ptlabel):
c1rdf.add((pltextile[label], SKOS.prefLabel, ptlabel))
if(rolabel):
c1rdf.add((pltextile[label], SKOS.prefLabel, rolabel))
if(enlabel):
c1rdf.add((pltextile[label], SKOS.prefLabel, enlabel))
if(calabel):
c1rdf.add((pltextile[label], SKOS.prefLabel, calabel))
if(eslabel):
c1rdf.add((pltextile[label], SKOS.prefLabel, eslabel))
if(esarglabel):
c1rdf.add((pltextile[label], SKOS.prefLabel, esarglabel))
# if(esargmexarglabel):
# c1rdf.add((pltextile[label], SKOS.prefLabel, esargmexarglabel))
# c1rdf.add((pltextile[label], SKOS.prefLabel, esargmexmexlabel))
if(esmexlabel):
c1rdf.add((pltextile[label], SKOS.prefLabel, esmexlabel))
if(frcalabel):
c1rdf.add((pltextile[label], SKOS.prefLabel, frcalabel))
if (itdef):
c1rdf.add((pltextile[label], SKOS.definition, itdef))
print(len(c1rdf))
In [27]:
# for s, p, o in c1rdf.triples((None, None, None)):
# print("{} {}".format(s, o.n3))
Create a Turtle file in the /data directory with the SKOS resources for Data Stewardship terminology
In [28]:
c1rdf.serialize(destination='data/lexpanlatskos_11.ttl', format="n3");#format="pretty-xml")
c1rdf.serialize(destination='data/lexpanlatskos_11.rdf', format="pretty-xml");#format="pretty-xml")
Lessico panlatino delle Maniche¶
In [29]:
urlma=conf['Source']['LESSICOMANICHESOURCE']
df_data_maniche=pd.read_csv(urlma)
df_data_maniche.rename(columns = {'es [ARG]': 'es-arg', 'es [MEX]': 'es-mex', 'pt [BR]': 'pt-br'}, inplace = True)
df_data_maniche.fillna('', inplace=True)
#df_data_maniche.info()
In [31]:
cl_manicherdf = rdflib.Graph()
cl_manicherdf.bind("pltextile", pltextile)
cl_manicherdf.bind("dc11", dc11)
cl_manicherdf.bind("dct", dct)
cl_manicherdf.bind("iso369-3", iso369)
cl_manicherdf.bind("skos", SKOS)
cl_manicherdf.bind("dc", DC)
cl_manicherdf.bind("rdf", RDF)
cl_manicherdf.bind("owl", OWL)
cl_manicherdf.bind("xsd", XSD)
now = datetime.datetime.today()
today_date=now.date()
title=Literal(conf['Texts']['LESSICOMANICHETITLE'], lang=conf['Texts']['LANG'])
description=Literal(conf['Texts']['LESSICOMANICHEDESCRIPTION'], lang=conf['Texts']['LANG'])
description_it=Literal(conf['Texts']['LESSICOMANICHEDESCRIPTION_IT'], lang='it')
identifier=Literal(conf['Texts']['LESSICOMANICHEID'], lang=conf['Texts']['LANG'])
#identifier=URIRef(conf['Texts']['VOCABULARYID'])
createddate= Literal(conf['Texts']['LESSICOCREATEDATE'],datatype=XSD.date)
moddate= Literal(today_date,datatype=XSD.date)
version= Literal(conf['Texts']['LESSICOVERSION'],datatype=XSD.string)
cl_manicherdf.add((pltextile[''], RDF.type, SKOS.ConceptScheme))
cl_manicherdf.add((pltextile[''], DC.title, title))
cl_manicherdf.add((pltextile[''], DC.identifier, identifier))
cl_manicherdf.add((pltextile[''], DC.description, description))
cl_manicherdf.add((pltextile[''], DC.description, description_it))
cl_manicherdf.add((pltextile[''], dct.created, createddate))
cl_manicherdf.add((pltextile[''], dct.modified, moddate))
cl_manicherdf.add((pltextile[''], OWL.versionInfo, version))
cl_manicherdf.add((pltextile[''], dct.language, iso369.eng))
cl_manicherdf.add((pltextile[''], dct.language, iso369.es))
cl_manicherdf.add((pltextile[''], dct.language, iso369.fra))
cl_manicherdf.add((pltextile[''], dct.language, iso369.ca))
cl_manicherdf.add((pltextile[''], dct.language, iso369.ita))
cl_manicherdf.add((pltextile[''], dct.language, iso369.pt))
Out[31]:
In [32]:
# Mapping
for index, row in df_data_maniche.iterrows():
strlabel=row.it.split('\n')[0].split('(')[0].strip()
label=strlabel.replace(" ", "_").replace("’","").replace("'","").strip()
#label=URIRef(row.it.split('\n')[0].split(' (')[0].strip())
cl_manicherdf.add((pltextile[''], SKOS.hasTopConcept, pltextile[label]))
frlabel=Literal(row["fr"].split('\n')[0].strip(), lang='fr')
fraltlabels=row["fr"].split('\n')[1:]
itlabel=Literal(row['it'].split('\n')[0].strip(), lang='it')
italtlabels=row["it"].split('\n')[1:]
calabel=Literal(row['ca'].split('\n')[0].strip(), lang='ca')
caaltlabels=row["ca"].split('\n')[1:]
eslabel=Literal(row['es'].split('\n')[0].strip(), lang='es')
esaltlabels=row["es"].split('\n')[1:]
#gllabel=Literal(row['gl'].split('\n')[0].strip(), lang='gl')
#glaltlabels=row["gl"].split('\n')[1:]
ptlabel=Literal(row['pt'].split('\n')[0].strip(), lang='pt')
ptaltlabels=row["pt"].split('\n')[1:]
# rolabel=Literal(row['ro'].split('\n')[0].strip(), lang='ro')
# roaltlabels=row["ro"].split('\n')[1:]
enlabel=Literal(row['en'].split('\n')[0].strip(), lang='en')
enaltlabels=row["en"].split('\n')[1:]
esarglabel=Literal(row['es-arg'].split('\n')[0].strip(), lang='es-ar')
esargaltlabels=row["es-arg"].split('\n')[1:]
esmexlabel=Literal(row['es-mex'].split('\n')[0].strip(), lang='es-mx')
esmexaltlabels=row["es-mex"].split('\n')[1:]
ptbrlabel=Literal(row['pt-br'].split('\n')[0].strip(), lang='pt-br')
ptbraltlabels=row["pt-br"].split('\n')[1:]
#definition
itdef=Literal(row["DEF"].strip(), lang='it')
cl_manicherdf.add((pltextile[label], RDF.type, SKOS.Concept))
cl_manicherdf.add((pltextile[label], SKOS.inScheme, pltextile['']))
cl_manicherdf.add((pltextile[label], SKOS.topConceptOf, pltextile['']))
for alab in esargaltlabels:
cl_manicherdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='es-ar')))
for alab in esmexaltlabels:
cl_manicherdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='es-mx')))
for alab in ptbraltlabels:
cl_manicherdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='pt-br')))
for alab in esaltlabels:
cl_manicherdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='es')))
# for alab in glaltlabels:
# cl_collirdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='gl')))
for alab in ptaltlabels:
cl_manicherdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='pt')))
# for alab in roaltlabels:
# cl_collirdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='ro')))
for alab in enaltlabels:
cl_manicherdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='en')))
for alab in caaltlabels:
cl_manicherdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='ca')))
for alab in fraltlabels:
#print ("tt "+alab)
cl_manicherdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='fr')))
for alab in italtlabels:
cl_manicherdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='it')))
if(frlabel):
cl_manicherdf.add((pltextile[label], SKOS.prefLabel, frlabel))
if(itlabel):
cl_manicherdf.add((pltextile[label], SKOS.prefLabel, itlabel))
# if(gllabel):
# cl_manicherdf.add((pltextile[label], SKOS.prefLabel, gllabel))
if(ptlabel):
cl_manicherdf.add((pltextile[label], SKOS.prefLabel, ptlabel))
# if(rolabel):
# cl_manicherdf.add((pltextile[label], SKOS.prefLabel, rolabel))
if(enlabel):
cl_manicherdf.add((pltextile[label], SKOS.prefLabel, enlabel))
if(calabel):
cl_manicherdf.add((pltextile[label], SKOS.prefLabel, calabel))
if(eslabel):
cl_manicherdf.add((pltextile[label], SKOS.prefLabel, eslabel))
if(esarglabel):
cl_manicherdf.add((pltextile[label], SKOS.prefLabel, esarglabel))
if(esmexlabel):
cl_manicherdf.add((pltextile[label], SKOS.prefLabel, esmexlabel))
if(ptbrlabel):
cl_manicherdf.add((pltextile[label], SKOS.prefLabel, ptbrlabel))
if (itdef):
cl_manicherdf.add((pltextile[label], SKOS.definition, itdef))
print(len(cl_manicherdf))
In [33]:
cl_manicherdf.serialize(destination='data/lexpanlatmanicheskos_11.ttl', format="n3");#format="pretty-xml")
cl_manicherdf.serialize(destination='data/lexpanlatmanicheskos_11.rdf', format="pretty-xml");#format="pretty-xml")
Lessico panlatino dei Colli¶
In [34]:
urlco=conf['Source']['LESSICOCOLLISOURCE']
df_data_colli=pd.read_csv(urlco)
In [35]:
df_data_colli.rename(columns = {'es [ARG]': 'es-arg', 'es [MEX]': 'es-mex', 'pt [BR]': 'pt-br'}, inplace = True)
df_data_colli.fillna('', inplace=True)
#df_data_colli.head()
In [36]:
cl_collirdf = rdflib.Graph()
cl_collirdf.bind("pltextile", pltextile)
cl_collirdf.bind("dc11", dc11)
cl_collirdf.bind("dct", dct)
cl_collirdf.bind("iso369-3", iso369)
cl_collirdf.bind("skos", SKOS)
cl_collirdf.bind("dc", DC)
cl_collirdf.bind("rdf", RDF)
cl_collirdf.bind("owl", OWL)
cl_collirdf.bind("xsd", XSD)
SKOS concept scheme
In [ ]:
now = datetime.datetime.today()
today_date=now.date()
title=Literal(conf['Texts']['LESSICOCOLLITITLE'], lang=conf['Texts']['LANG'])
description=Literal(conf['Texts']['LESSICOCOLLIDESCRIPTION'], lang=conf['Texts']['LANG'])
description_it=Literal(conf['Texts']['LESSICOCOLLIDESCRIPTION_IT'], lang='it')
identifier=Literal(conf['Texts']['LESSICOCOLLIID'], lang=conf['Texts']['LANG'])
#identifier=URIRef(conf['Texts']['VOCABULARYID'])
createddate= Literal(conf['Texts']['LESSICOCREATEDATE'],datatype=XSD.date)
moddate= Literal(today_date,datatype=XSD.date)
version= Literal(conf['Texts']['LESSICOVERSION'],datatype=XSD.string)
cl_collirdf.add((pltextile[''], RDF.type, SKOS.ConceptScheme))
cl_collirdf.add((pltextile[''], DC.title, title))
cl_collirdf.add((pltextile[''], DC.identifier, identifier))
cl_collirdf.add((pltextile[''], DC.description, description))
cl_collirdf.add((pltextile[''], dct.created, createddate))
cl_collirdf.add((pltextile[''], dct.modified, moddate))
cl_collirdf.add((pltextile[''], OWL.versionInfo, version))
cl_collirdf.add((pltextile[''], dct.language, iso369.eng))
cl_collirdf.add((pltextile[''], dct.language, iso369.es))
cl_collirdf.add((pltextile[''], dct.language, iso369.fra))
cl_collirdf.add((pltextile[''], dct.language, iso369.ita))
cl_collirdf.add((pltextile[''], dct.language, iso369.pt))
cl_collirdf.add((pltextile[''], dct.language, iso369.ca))
In [ ]:
# Mapping
for index, row in df_data_colli.iterrows():
strlabel=row.it.split('\n')[0].split(' (')[0].strip()
label=strlabel.replace(" ", "_").replace("’","")
#label=URIRef(row.it.split('\n')[0].split(' (')[0].strip())
cl_collirdf.add((pltextile[''], SKOS.hasTopConcept, pltextile[label]))
frlabel=Literal(row["fr"].split('\n')[0].strip(), lang='fr')
fraltlabels=row["fr"].split('\n')[1:]
itlabel=Literal(row['it'].split('\n')[0].strip(), lang='it')
italtlabels=row["it"].split('\n')[1:]
calabel=Literal(row['ca'].split('\n')[0].strip(), lang='ca')
caaltlabels=row["ca"].split('\n')[1:]
eslabel=Literal(row['es'].split('\n')[0].strip(), lang='es')
esaltlabels=row["es"].split('\n')[1:]
#gllabel=Literal(row['gl'].split('\n')[0].strip(), lang='gl')
#glaltlabels=row["gl"].split('\n')[1:]
ptlabel=Literal(row['pt'].split('\n')[0].strip(), lang='pt')
ptaltlabels=row["pt"].split('\n')[1:]
# rolabel=Literal(row['ro'].split('\n')[0].strip(), lang='ro')
# roaltlabels=row["ro"].split('\n')[1:]
enlabel=Literal(row['en'].split('\n')[0].strip(), lang='en')
enaltlabels=row["en"].split('\n')[1:]
esarglabel=Literal(row['es-arg'].split('\n')[0].strip(), lang='es-ar')
esargaltlabels=row["es-arg"].split('\n')[1:]
esmexlabel=Literal(row['es-mex'].split('\n')[0].strip(), lang='es-mx')
esmexaltlabels=row["es-mex"].split('\n')[1:]
ptbrlabel=Literal(row['pt-br'].split('\n')[0].strip(), lang='pt-br')
ptbraltlabels=row["pt-br"].split('\n')[1:]
#definition
itdef=Literal(row["DEF"].strip(), lang='it')
cl_collirdf.add((pltextile[label], RDF.type, SKOS.Concept))
cl_collirdf.add((pltextile[label], SKOS.inScheme, pltextile['']))
cl_collirdf.add((pltextile[label], SKOS.topConceptOf, pltextile['']))
for alab in esargaltlabels:
cl_collirdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='es-ar')))
for alab in esmexaltlabels:
cl_collirdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='es-mx')))
for alab in ptbraltlabels:
cl_collirdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='pt-br')))
for alab in esaltlabels:
cl_collirdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='es')))
# for alab in glaltlabels:
# cl_collirdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='gl')))
for alab in ptaltlabels:
cl_collirdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='pt')))
# for alab in roaltlabels:
# cl_collirdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='ro')))
for alab in enaltlabels:
cl_collirdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='en')))
for alab in caaltlabels:
cl_collirdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='ca')))
for alab in fraltlabels:
#print ("tt "+alab)
cl_collirdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='fr')))
for alab in italtlabels:
cl_collirdf.add((pltextile[label], SKOS.altLabel, Literal(alab, lang='it')))
if(frlabel):
cl_collirdf.add((pltextile[label], SKOS.prefLabel, frlabel))
if(itlabel):
cl_collirdf.add((pltextile[label], SKOS.prefLabel, itlabel))
# if(gllabel):
# cl_collirdf.add((pltextile[label], SKOS.prefLabel, gllabel))
if(ptlabel):
cl_collirdf.add((pltextile[label], SKOS.prefLabel, ptlabel))
# if(rolabel):
# cl_collirdf.add((pltextile[label], SKOS.prefLabel, rolabel))
if(enlabel):
cl_collirdf.add((pltextile[label], SKOS.prefLabel, enlabel))
if(calabel):
cl_collirdf.add((pltextile[label], SKOS.prefLabel, calabel))
if(eslabel):
cl_collirdf.add((pltextile[label], SKOS.prefLabel, eslabel))
if(esarglabel):
cl_collirdf.add((pltextile[label], SKOS.prefLabel, esarglabel))
if(esmexlabel):
cl_collirdf.add((pltextile[label], SKOS.prefLabel, esmexlabel))
if(ptbrlabel):
cl_collirdf.add((pltextile[label], SKOS.prefLabel, ptbrlabel))
if (itdef):
cl_collirdf.add((pltextile[label], SKOS.definition, itdef))
print(len(cl_collirdf))
In [ ]:
cl_collirdf.serialize(destination='data/lexpanlatcolliskos_11.ttl', format="n3");#format="pretty-xml")
cl_collirdf.serialize(destination='data/lexpanlatcolliskos_11.rdf', format="pretty-xml");#format="pretty-xml")