# Utilities to read/write csv files import csv # Utilities to handle character encodings import unicodedata # Ordered Dicts from collections import OrderedDict import json # OPZIONAL IMPORTS # For timestamping/simple speed tests from datetime import datetime # Random number generator from random import * # System & command line utilities import sys # Json for the dictionary import json import csv # Utilities to handle character encodings import unicodedata # Ordered Dicts from collections import OrderedDict import json import string import_dir = '/Users/federicaspinelli/TEAMOVI/Parser/DATA/TOPONIMI/CSV/' export_dir = '/Users/federicaspinelli/TEAMOVI/Parser/DATA/TOPONIMI/RDF/' # Custom class to store URIs + related infos for the ontologies/repositories class RDFcoords: def __init__(self, uri, prefix, code = None): self.uri = uri self.prefix = prefix self.code = code # Repositories aspoCoords = RDFcoords('', 'dat:') placeCoords = RDFcoords('', 'pl:') oviCoords = RDFcoords('', 'ovi:') cidocCoords = RDFcoords('', 'crm:') tgnCoords = RDFcoords('', 'tgn:') nsCoords = RDFcoords('', 'rdf:') schemaCoords = RDFcoords('', 'rdfs:') devCoords = RDFcoords('', 'dev:') owlCoords = RDFcoords('', 'owl:') # Basic functions for triples / shortened triples in TTL format def triple(subject, predicate, object1): line = subject + ' ' + predicate + ' ' + object1 return line def doublet(predicate, object1): line = ' ' + predicate + ' ' + object1 return line def singlet(object1): line = ' ' + object1 return line # Line endings in TTL format continueLine1 = ' ;\n' continueLine2 = ' ,\n' closeLine = ' .\n' def writeTTLHeader(output): output.write('@prefix ' + placeCoords.prefix + ' ' + placeCoords.uri + closeLine) output.write('@prefix ' + aspoCoords.prefix + ' ' + aspoCoords.uri + closeLine) output.write('@prefix ' + oviCoords.prefix + ' ' + oviCoords.uri + closeLine) output.write('@prefix ' + cidocCoords.prefix + ' ' + cidocCoords.uri + closeLine) output.write('@prefix ' + tgnCoords.prefix + ' ' + tgnCoords.uri + closeLine) output.write('@prefix ' + schemaCoords.prefix + ' ' + schemaCoords.uri + closeLine) output.write('@prefix ' + nsCoords.prefix + ' ' + nsCoords.uri + closeLine) output.write('@prefix ' + devCoords.prefix + ' ' + devCoords.uri + closeLine) output.write('@prefix ' + owlCoords.prefix + ' ' + owlCoords.uri + closeLine) output.write('\n') filePrefix = 'toponimi_' fileType = 'OVI_ASPO' max_entries = 1000000000 with open(import_dir + filePrefix + fileType + '.csv', newline="") as csv_file, open( export_dir + filePrefix + fileType + '.ttl', 'w') as output: reader = csv.DictReader(csv_file) writeTTLHeader(output) first = True ii = 0 for row in reader: # The index ii is used to process a limited number of entries for testing purposes ii = ii + 1 if row['ID ASPO'] != "": #placeHolders top = row['toponimo'].replace(" ", "_") toponimo = top.translate(str.maketrans('', '', string.punctuation)) E73placeHolder = '' topPlaceHolder = oviCoords.prefix + toponimo placePlaceHolder = devCoords.prefix + row['ID RESTORE'] line = triple(E73placeHolder, cidocCoords.prefix + 'P67_refers_to', topPlaceHolder) + closeLine output.write(line) line = triple(topPlaceHolder, nsCoords.prefix + 'type', cidocCoords.prefix + 'E41_Appellation') + closeLine output.write(line) label = string.capwords(row['toponimo']) line = triple(topPlaceHolder, schemaCoords.prefix + 'label', '\"' + label + '\"') + closeLine output.write(line) line = triple(topPlaceHolder, cidocCoords.prefix + 'P2_has_type', '\"Toponimo\"') + closeLine output.write(line) line = triple(placePlaceHolder, cidocCoords.prefix + 'P1_is_identified_by', topPlaceHolder) + closeLine output.write(line) output.write('\n') # # # Limit number of entries processed (if desired) if (ii > max_entries): break