def genformatches(g):
"""
generate equivalency relations for RFCD <-> FOR.
"""
forcsv = csv.reader(open('anzsrc_data/rfcd-for08.csv'))
for i in range(0, 5):
forcsv.next()
for f98, n98, f08, n08 in forcsv:
if not f98 or not f08:
continue
for98code = RFCD.term(f98)
if f08.endswith('p'):
# rfcd code is covered partially by for
for08code = FOR08.term(f08[:-1])
g.add((for98code, ANZSRC.partialMatch, for08code))
else:
# rfcd code is covered fully by for
for08code = FOR08.term(f08)
g.add((for98code, ANZSRC.fullMatch, for08code))
forcsv = csv.reader(open('anzsrc_data/for08-rfcd.csv'))
for i in range(0, 5):
forcsv.next()
# narrow match is being used as partial match.
# TODO: consider defining a partial match property
for f08, n08, f98, n98 in forcsv:
if not f98 or not f08:
continue
for08code = FOR08.term(f08)
if f98.endswith('p'):
# for code is covered partially by rfcd
for98code = RFCD.term(f98[:-1])
g.add((for08code, ANZSRC.partialMatch, for98code))
else:
# for code is covered fully by rfcd
for98code = RFCD.term(f98)
g.add((for08code, ANZSRC.fullMatch, for98code))
return g
def createDivision(code, name):
rfcdcode = RFCD.term(code)
g.add((rfcdcode, RDF.type, RFCD.RFCD2))
g.add((rfcdcode, RDF.type, OWL.Thing))
g.add((rfcdcode, RDFS.label, Literal(unicode(name))))
g.add((rfcdcode, ANZSRC.code, Literal(code)))
def createDivision(code, name):
rfcdcode = RFCD.term(code)
g.add((rfcdcode, RDF.type, RFCD.RFCD2))
g.add((rfcdcode, RDF.type, OWL.Thing))
g.add((rfcdcode, RDFS.label, Literal(unicode(name))))
g.add((rfcdcode, ANZSRC.code, Literal(code)))
