def machineProcessable(self, subjectInfo, objectInfo):
#creating a list of machine processable formats
formats = [
'rdf', 'ttl', 'rdfa', 'rdf+xml', 'n3', 'n-triples', 'nq', 'sparql',
'csv', 'json', 'tsv', 'xml', 'open xml'
]
mp = ''
#examine whether object dataset have at least one machine processable format
formatsSO = 0
formatsOS = 0
sDF = []
oDF = []
pan = PANController()
#get data formats in subject and object dataset
sDF = pan._get_formats(subjectInfo['name'])
oDF = pan._get_formats(objectInfo['name'])
#examine whether subject dataset have at least one machine processable format
for keyS, valueS in enumerate(sDF):
for keyF, valueF in enumerate(formats):
if (valueS.lower() == valueF):
formatsSO += 1
#examine whether object dataset have at least one machine processable format
for keyO, valueO in enumerate(oDF):
for keyF, valueF in enumerate(formats):
if (valueO.lower() == valueF):
formatsOS += 1
#compare results
if all(x > 0 for x in (formatsSO, formatsOS)):
mp = 'true'
else:
mp = 'false'
return mp
def machineProcessable(self, subjectInfo, objectInfo):
#creating a list of machine processable formats
formats = ['rdf','ttl','rdfa','rdf+xml','n3','n-triples','nq','sparql','csv','json','tsv','xml','open xml']
mp = ''
#examine whether object dataset have at least one machine processable format
formatsSO = 0
formatsOS = 0
sDF = []
oDF = []
pan = PANController()
#get data formats in subject and object dataset
sDF = pan._get_formats(subjectInfo['name'])
oDF = pan._get_formats(objectInfo['name'])
#examine whether subject dataset have at least one machine processable format
for keyS, valueS in enumerate(sDF):
for keyF, valueF in enumerate(formats):
if (valueS.lower() == valueF):
formatsSO += 1
#examine whether object dataset have at least one machine processable format
for keyO, valueO in enumerate(oDF):
for keyF, valueF in enumerate(formats):
if (valueO.lower() == valueF):
formatsOS += 1
#compare results
if all(x > 0 for x in (formatsSO, formatsOS)):
mp = 'true'
else:
mp = 'false'
return mp
def linkedFormat(self, subjectInfo, objectInfo):
#creating a list of linked data formats
formats = [
'rdf', 'rdfa', 'ttl', 'n3', 'nq', 'rdf+xml', 'turtle', 'n-triples'
]
lF = ''
formatsSO = 0
formatsOS = 0
sDF = []
oDF = []
pan = PANController()
#get data formats in subject and object dataset
sDF = pan._get_formats(subjectInfo['name'])
oDF = pan._get_formats(objectInfo['name'])
#examine whether subject dataset have at least one linked data format
for keyS, valueS in enumerate(sDF):
for keyF, valueF in enumerate(formats):
if (valueS.lower() == valueF):
formatsSO += 1
#examine whether object dataset have at least one linked data format
for keyO, valueO in enumerate(oDF):
for keyF, valueF in enumerate(formats):
if (valueO.lower() == valueF):
formatsOS += 1
#compare results
if all(x > 0 for x in (formatsSO, formatsOS)):
lF = 'true'
else:
lF = 'false'
return lF
def linkedFormat(self, subjectInfo, objectInfo):
#creating a list of linked data formats
formats = ['rdf', 'rdfa', 'ttl', 'n3', 'nq' ,'rdf+xml', 'turtle', 'n-triples']
lF = ''
formatsSO = 0
formatsOS = 0
sDF = []
oDF = []
pan = PANController()
#get data formats in subject and object dataset
sDF = pan._get_formats(subjectInfo['name'])
oDF = pan._get_formats(objectInfo['name'])
#examine whether subject dataset have at least one linked data format
for keyS, valueS in enumerate(sDF):
for keyF, valueF in enumerate(formats):
if (valueS.lower() == valueF):
formatsSO += 1
#examine whether object dataset have at least one linked data format
for keyO, valueO in enumerate(oDF):
for keyF, valueF in enumerate(formats):
if (valueO.lower() == valueF):
formatsOS += 1
#compare results
if all(x > 0 for x in (formatsSO, formatsOS)):
lF = 'true'
else:
lF = 'false'
return lF
def compareFormats(self, subjectInfo, objectInfo):
formatsSO = 0
formatsOS = 0
sDF = []
oDF = []
pan = PANController()
#get data formats in subject and object dataset
sDF = pan._get_formats(subjectInfo['name'])
oDF = pan._get_formats(objectInfo['name'])
#examine number of similar formats from subject dataset in object dataset
for keyS, valueS in enumerate(sDF):
for keyO, valueO in enumerate(oDF):
if (valueS == valueO):
formatsSO += 1
#examine number of similar formats from object dataset in subject dataset
for keyO, valueO in enumerate(oDF):
for keyS, valueS in enumerate(sDF):
if (valueO == valueS):
formatsOS += 1
#calculating mean value for both cases
formatsSO = formatsSO / len(oDF)
formatsSO = int(round(formatsSO, 2) * 100)
formatsOS = formatsOS / len(sDF)
formatsOS = int(round(formatsOS, 2) * 100)
results = [formatsSO, formatsOS]
return results
def compareFormats(self, subjectInfo, objectInfo):
formatsSO = 0
formatsOS = 0
sDF = []
oDF = []
pan = PANController()
#get data formats in subject and object dataset
sDF = pan._get_formats(subjectInfo['name'])
oDF = pan._get_formats(objectInfo['name'])
#examine number of similar formats from subject dataset in object dataset
for keyS, valueS in enumerate(sDF):
for keyO, valueO in enumerate(oDF):
if (valueS == valueO):
formatsSO += 1
#examine number of similar formats from object dataset in subject dataset
for keyO, valueO in enumerate(oDF):
for keyS, valueS in enumerate(sDF):
if (valueO == valueS):
formatsOS += 1
#calculating mean value for both cases
formatsSO = formatsSO / len(oDF)
formatsSO = int(round(formatsSO, 2) * 100)
formatsOS = formatsOS / len(sDF)
formatsOS = int(round(formatsOS, 2) * 100)
results = [formatsSO, formatsOS]
return results
