def test_awe_1_to_1():
"""
Text axiom weight estimation
"""
ont = Ontology()
assert ont.nodes() == []
lexmap = LexicalMapEngine(
config={
'cardinality_weights': [{
'prefix1': 'X',
'prefix2': 'Y',
'cardinality': '11',
'weights': [-1.0, -1.0, 2.0, 0.0]
}]
})
ont.add_node('X:1', 'foo 1')
ont.add_node('Y:1', 'foo 1')
ont.add_node('Z:1a', 'foo 1')
ont.add_node('Z:1b', 'foo 1')
lexmap.index_ontology(ont)
xg = lexmap.get_xref_graph()
df = lexmap.as_dataframe(xg)
print(df.to_csv(sep="\t"))
P_XY = lexmap.weighted_axioms('X:1', 'Y:1', xg)
P_XZ = lexmap.weighted_axioms('X:1', 'Z:1a', xg)
logging.info('P_XY={} P_XZ={}'.format(P_XY, P_XZ))
assert P_XY[2] > P_XZ[2]
def test_awe_scope_map():
"""
Text axiom weight estimation, syn scopes
"""
ont = Ontology()
assert ont.nodes() == []
lexmap = LexicalMapEngine()
ont.add_node('X:1', 'x1')
ont.add_node('Y:1', 'y1')
ont.add_node('Z:1', 'z1')
ont.add_synonym(Synonym('X:1', val='related', pred='hasRelatedSynonym'))
ont.add_synonym(Synonym('Y:1', val='related', pred='hasRelatedSynonym'))
ont.add_synonym(Synonym('Y:1', val='exact', pred='hasExactSynonym'))
ont.add_synonym(Synonym('Z:1', val='exact', pred='hasExactSynonym'))
lexmap.index_ontology(ont)
xg = lexmap.get_xref_graph()
df = lexmap.as_dataframe(xg)
print(df.to_csv(sep="\t"))
P_XY = lexmap.weighted_axioms('X:1', 'Y:1', xg)
P_YZ = lexmap.weighted_axioms('Y:1', 'Z:1', xg)
logging.info('P_XY={} P_XZ={}'.format(P_XY, P_YZ))
assert P_XY[2] > P_XY[0]
assert P_XY[2] > P_XY[1]
assert P_XY[2] > P_XY[3]
assert P_XY[2] < P_YZ[2]
def test_awe_match_pairs():
"""
Text axiom weight estimation
"""
ont = Ontology()
assert ont.nodes() == []
lexmap = LexicalMapEngine(
config={
'match_weights': [{
'prefix1': 'X',
'prefix2': 'Y',
'weights': [1.0, -1.0, 2.0, 0.0]
}]
})
ont.add_node('X:1', 'foo 1')
ont.add_node('Y:1', 'foo 1')
lexmap.index_ontology(ont)
xg = lexmap.get_xref_graph()
df = lexmap.as_dataframe(xg)
print(df.to_csv(sep="\t"))
P_XY = lexmap.weighted_axioms('X:1', 'Y:1', xg)
P_YX = lexmap.weighted_axioms('Y:1', 'X:1', xg)
logging.info('P_XY={} P_YX={}'.format(P_XY, P_YX))
assert P_XY[0] > P_XY[1]
assert P_XY[0] == P_YX[1]
def test_awe_1_to_many_default():
"""
As previous test, but with defaults
"""
ont = Ontology()
lexmap = LexicalMapEngine(
config={
'cardinality_weights': [{
'cardinality': 'm1',
'weights': [1.0, -1.0, -2.0, 0.0]
}]
})
ont.add_node('X:1', 'foo 1')
ont.add_node('Y:1a', 'foo 1a')
ont.add_synonym(Synonym('Y:1a', val='foo 1', pred='hasRelatedSynonym'))
ont.add_node('Y:1b', 'foo 1b')
ont.add_synonym(Synonym('Y:1b', val='foo 1', pred='hasExactSynonym'))
lexmap.index_ontology(ont)
xg = lexmap.get_xref_graph()
df = lexmap.as_dataframe(xg)
print(df.to_csv(sep="\t"))
P = lexmap.weighted_axioms('X:1', 'Y:1a', xg)
logging.info('P={}'.format(P))
assert P[0] < P[1]
assert P[1] > P[2]
def test_awe_1_to_many_flat():
"""
Text axiom weight estimation, for a 1-to-many situation, where the many are not inter-related
"""
ont = Ontology()
lexmap = LexicalMapEngine(
config={
'cardinality_weights': [{
'prefix1': 'X',
'prefix2': 'Y',
'cardinality': '1m',
'weights': [-1.0, 1.0, -2.0, 0.0]
}]
})
ont.add_node('X:1', 'foo 1')
ont.add_node('Y:1a', 'foo 1a')
ont.add_synonym(Synonym('Y:1a', val='foo 1', pred='hasRelatedSynonym'))
ont.add_node('Y:1b', 'foo 1b')
ont.add_synonym(Synonym('Y:1b', val='foo 1', pred='hasExactSynonym'))
lexmap.index_ontology(ont)
xg = lexmap.get_xref_graph()
df = lexmap.as_dataframe(xg)
print(df.to_csv(sep="\t"))
P = lexmap.weighted_axioms('X:1', 'Y:1a', xg)
logging.info('P={}'.format(P))
assert P[0] < P[1]
assert P[1] > P[2]
def test_awe_xref_weights():
"""
Text axiom weight estimation, when provided with defaults
"""
ont = Ontology()
assert ont.nodes() == []
lexmap = LexicalMapEngine(
config={
'xref_weights': [
{
'left': 'X:1',
'right': 'Y:1',
'weights': [100.0, 0.0, 0.0, 0.0]
},
{
'left': 'Z:1',
'right': 'Y:1',
'weights': [0.0, 100.0, 0.0, 0.0]
},
]
})
ont.add_node('X:1', 'foo')
ont.add_node('Y:1', 'foo')
ont.add_node('Z:1', 'foo')
lexmap.index_ontology(ont)
xg = lexmap.get_xref_graph()
df = lexmap.as_dataframe(xg)
print(df.to_csv(sep="\t"))
P_XY = lexmap.weighted_axioms('X:1', 'Y:1', xg)
P_YZ = lexmap.weighted_axioms('Y:1', 'Z:1', xg)
logging.info('P_XY={} P_XZ={}'.format(P_XY, P_YZ))
assert P_XY[0] > P_XY[1]
assert P_XY[0] > P_XY[2]
assert P_XY[0] > P_XY[3]
assert P_YZ[0] > P_YZ[1]
assert P_YZ[0] > P_YZ[2]
assert P_YZ[0] > P_YZ[3]
def test_awe_1_to_many_hier():
"""
Text axiom weight estimation
"""
ont = Ontology()
assert ont.nodes() == []
lexmap = LexicalMapEngine()
ont.add_node('X:1', 'foo 1')
ont.add_node('Z:1a', 'foo 1')
ont.add_node('Z:1b', 'foo 1')
ont.add_parent('Z:1b', 'Z:1a')
lexmap.index_ontology(ont)
xg = lexmap.get_xref_graph()
df = lexmap.as_dataframe(xg)
print(df.to_csv(sep="\t"))
P_a = lexmap.weighted_axioms('X:1', 'Z:1a', xg)
P_b = lexmap.weighted_axioms('X:1', 'Z:1b', xg)
logging.info('P_a={} P_b={}'.format(P_a, P_b))
assert P_a[0] > P_a[1]
assert P_b[0] < P_b[1]
assert P_a[0] > P_b[0]