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Refined_Detection.py
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Refined_Detection.py
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import Graph_Structure
import time
import Interval_Relations
def Refined_Subgraph_Detection0(temporal_KG,Constraint_Set):
'''
translate and execute constraint
:param Conflict_temporal_facts:
:param constraint:
:return:
'''
# TODO
# simplify_constraint()
Conflict_Fact_set=[]
# functional constraints detection
functional_constraints = Constraint_Set
print("len of constraint0:",len(functional_constraints))
FC_relations = []
for c in functional_constraints:
FC_relation = c.split(" ")[0].split(",")[1]
# new_added
type=c.split(" ")[1].split(",")[2]
FC_relations.append(FC_relation+"*"+type)
index_dict={}
for i in range(len(FC_relations)):
index_dict[FC_relations[i]]=i
# actions=0
vertex_count = 0
pre = time.time()
for i in temporal_KG.eVertexList:
v = temporal_KG.eVertexList[i]
vertex_count += 1
if vertex_count % 1000000 == 0:
ed = time.time()
print("have traversed nodes:", vertex_count)
print("time cost:", ed - pre, "s")
if v.isLiteral==True:
continue
if len(v.hasStatement) < 2:
continue
else:
all_relation_pairs = {}
for s in v.hasStatement:
r=s.getId()
i1=s.getStartTime()
i2=s.getEndTime()
tail=s.hasValue.getId()
if i1!=-1 or i2!=-1:
# new added
if temporal_KG.entityType.__contains__(tail):
#add null and itself
for t in temporal_KG.entityType[tail]:
key=r+"*"+t
if index_dict.__contains__(key):
index=index_dict[key]
all_relation_pairs.setdefault(index, []).append(s)
# print("detect cost time:", ed - st, "s")
for j in all_relation_pairs.keys():
for k in range(len(all_relation_pairs[j])):
vertex1=all_relation_pairs[j][k]
for l in range(k+1,len(all_relation_pairs[j])):
vertex2 = all_relation_pairs[j][l]
start1 = vertex1.getStartTime()
end1 = vertex1.getEndTime()
start2 = vertex2.getStartTime()
end2 = vertex2.getEndTime()
head = v.getId()
relation1 = vertex1.getId()
if vertex1.hasValue.isLiteral == True:
tail1 = vertex1.hasValue.getLabel()
else:
tail1 = vertex1.hasValue.getId()
relation2 = vertex2.getId()
if vertex2.hasValue.isLiteral == True:
tail2 = vertex2.hasValue.getLabel()
else:
tail2 = vertex2.hasValue.getId()
if Interval_Relations.disjoint(start1, end1, start2, end2) == -1:
# actions+=1
inconsistent_pair = functional_constraints[j] + "\t" + head + "," + relation1 + "," + tail1 + "," + str(
start1) + "," + str(
end1) + "\t" + head + "," + relation2 + "," + tail2 + "," + str(
start2) + "," + str(end2)
Conflict_Fact_set.append(inconsistent_pair)
# print(actions)
return Conflict_Fact_set
def Refined_Subgraph_Detection1(temporal_KG,Constraint_Set):
'''
translate and execute constraint
:param Conflict_temporal_facts:
:param constraint:
:return:
'''
# TODO
# simplify_constraint()
Conflict_Fact_set=[]
# inverse functional constraints detection
inverse_functional_constraints = Constraint_Set
print("len of constraint1:", len(inverse_functional_constraints))
IFC_relations = []
for c in inverse_functional_constraints:
IFC_relation = c.split(" ")[0].split(",")[1]
type=c.split(" ")[1].split(",")[2]
IFC_relations.append(IFC_relation+"*"+type)
index_dict={}
for i in range(len(IFC_relations)):
index_dict[IFC_relations[i]]=i
# actions=0
vertex_count = 0
pre = time.time()
for i in temporal_KG.eVertexList:
v = temporal_KG.eVertexList[i]
vertex_count += 1
if vertex_count % 1000000 == 0:
ed = time.time()
print("have traversed nodes:", vertex_count)
print("time cost:", ed - pre, "s")
if v.isLiteral==True:
continue
if len(v.bePointedTo) < 2:
continue
else:
all_relation_pairs={}
action=0
for s in v.bePointedTo:
r = s.getId()
i1 = s.getStartTime()
i2 = s.getEndTime()
tail=v.getId()
if i1 != -1 or i2 != -1:
# new added
if temporal_KG.entityType.__contains__(tail):
for t in temporal_KG.entityType[tail]:
key = r + "*" + t
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s)
# print(action)
if action>1000:
continue
for j in all_relation_pairs.keys():
for k in range(len(all_relation_pairs[j])):
vertex1=all_relation_pairs[j][k]
for l in range(k+1,len(all_relation_pairs[j])):
vertex2 = all_relation_pairs[j][l]
start1 = vertex1.getStartTime()
end1 = vertex1.getEndTime()
start2 = vertex2.getStartTime()
end2 = vertex2.getEndTime()
tail = v.getId()
relation1 = vertex1.getId()
head1 = vertex1.hasItem.getId()
relation2 = vertex2.getId()
head2 = vertex2.hasItem.getId()
if Interval_Relations.disjoint(start1, end1, start2, end2) == -1:
# actions+=1
inconsistent_pair = inverse_functional_constraints[j] + "\t" + head1 + "," + relation1 + "," + tail + "," + str(
start1) + "," + str(
end1) + "\t" + head2 + "," + relation2 + "," + tail + "," + str(
start2) + "," + str(end2)
Conflict_Fact_set.append(inconsistent_pair)
# print(actions)
return Conflict_Fact_set
def Refined_Subgraph_Detection2(temporal_KG,Constraint_Set):
'''
translate and execute constraint
:param Conflict_temporal_facts:
:param constraint:
:return:
'''
# TODO
# simplify_constraint()
Conflict_Fact_set=[]
# functional constraints detection
zero_hop_constraints = Constraint_Set
print("len of constraint2:", len(zero_hop_constraints))
ZHC_relations = []
index_dict = {}
count=0
for c in zero_hop_constraints:
c=c.split("|")[0]
ZHC_relation1 = c.split(" ")[0].split(",")[1]
type1 = c.split(" ")[1].split(",")[2]
ZHC_relation2 = c.split(" ")[3].split(",")[1]
type2 = c.split(" ")[4].split(",")[2]
ZHC_interval_relation=c.split(" ")[2]
relation_pair=[ZHC_relation1+"*"+type1,ZHC_relation2+"*"+type2,ZHC_interval_relation]
key=ZHC_relation1+"*"+type1+"*"+ZHC_relation2+"*"+type2
index_dict[key]=count
count+=1
ZHC_relations.append(relation_pair)
#[[P54,P569,before],[P54,P570,before]]
all_relations=set()
# print(ZHC_relations)
for p in ZHC_relations:
all_relations.add(p[0].split("*")[0])
all_relations.add(p[1].split("*")[0])
# print(all_relations)
# cou=0
vertex_count = 0
pre = time.time()
for i in temporal_KG.eVertexList:
v = temporal_KG.eVertexList[i]
vertex_count += 1
if vertex_count % 1000000 == 0:
ed = time.time()
print("have traversed nodes:", vertex_count)
print("time cost:", ed - pre, "s")
# cou+=1
# print(cou)
if v.isLiteral==True:
continue
if len(v.hasStatement) < 2:
continue
else:
all_relation_pairs={}
# a quick prune
filter_count=0
for j in range(len(v.hasStatement)):
s=v.hasStatement[j]
if all_relations.__contains__(s.getId()):
filter_count+=1
if filter_count<2:
continue
for j in range(len(v.hasStatement)):
s1=v.hasStatement[j]
# a quick filtering
i1=s1.getStartTime()
i2=s1.getEndTime()
if i1!=-1 or i2!=-1:
r1=s1.getId()
if not all_relations.__contains__(s1.getId()):
continue
for k in range(j+1,len(v.hasStatement)):
s2=v.hasStatement[k]
i3=s2.getStartTime()
i4=s2.getEndTime()
# a quick filtering
if i3!=-1 or i4!=-1:
r2 = s2.getId()
if not all_relations.__contains__(s2.getId()):
continue
tail1=s1.hasValue.getId()
tail2=s2.hasValue.getId()
# print("yes")
if temporal_KG.entityType.__contains__(tail1):
if temporal_KG.entityType.__contains__(tail2):
# print("yes")
for t in temporal_KG.entityType[tail1]:
u = "null"
key = r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(s2)
key = r2 + "*" + u + "*" + r1 + "*" + t
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s2)
all_relation_pairs.setdefault(index, []).append(s1)
for u in temporal_KG.entityType[tail2]:
t = "null"
key = r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(s2)
key = r2 + "*" + u + "*" + r1 + "*" + t
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s2)
all_relation_pairs.setdefault(index, []).append(s1)
for t in temporal_KG.entityType[tail1]:
for u in temporal_KG.entityType[tail2]:
key = r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(s2)
key = r2 + "*" + u + "*" + r1 + "*" + t
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s2)
all_relation_pairs.setdefault(index, []).append(s1)
else:
for t in temporal_KG.entityType[tail1]:
u = "null"
key = r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(s2)
key = r2 + "*" + u + "*" + r1 + "*" + t
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s2)
all_relation_pairs.setdefault(index, []).append(s1)
else:
if temporal_KG.entityType.__contains__(tail2):
for u in temporal_KG.entityType[tail2]:
t = "null"
key = r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(s2)
key = r2 + "*" + u + "*" + r1 + "*" + t
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s2)
all_relation_pairs.setdefault(index, []).append(s1)
# key1=r1+"*"+r2
# if index_dict.__contains__(key1):
# index1=index_dict[key1]
# all_relation_pairs.setdefault(index1, []).append(s1)
# all_relation_pairs.setdefault(index1, []).append(s2)
# key2=r2+"*"+r1
# if index_dict.__contains__(key2):
# # print("yes")
# index2=index_dict[key2]
# all_relation_pairs.setdefault(index2, []).append(s2)
# all_relation_pairs.setdefault(index2, []).append(s1)
# print(all_relation_pairs)
# print(len(all_relation_pairs))
for j in all_relation_pairs.keys():
# step=2
for k in range(0,len(all_relation_pairs[j]),2):
# print(len(all_relation_pairs[j]))
vertex1 = all_relation_pairs[j][k]
vertex2 = all_relation_pairs[j][k+1]
start1 = vertex1.getStartTime()
end1 = vertex1.getEndTime()
start2 = vertex2.getStartTime()
end2 = vertex2.getEndTime()
head = v.getId()
relation1 = vertex1.getId()
if vertex1.hasValue.isLiteral == True:
tail1 = vertex1.hasValue.getLabel()
else:
tail1 = vertex1.hasValue.getId()
relation2 = vertex2.getId()
if vertex2.hasValue.isLiteral == True:
tail2 = vertex2.hasValue.getLabel()
else:
tail2 = vertex2.hasValue.getId()
# choose which interval relation is
if ZHC_relations[j][2].__eq__("before"):
if Interval_Relations.before(start1,end1,start2,end2)==-1:
inconsistent_pair = zero_hop_constraints[j]+"\t"+head + "," + relation1 + "," + tail1 + "," + str(start1) + "," + str(
end1) + "\t" + head + "," + relation2 + "," + tail2 + "," + str(start2) + "," + str(end2)
Conflict_Fact_set.append(inconsistent_pair)
elif ZHC_relations[j][2].__eq__("include"):
if Interval_Relations.include(start1, end1, start2, end2) == -1:
inconsistent_pair = zero_hop_constraints[j]+"\t"+head + "," + relation1 + "," + tail1 + "," + str(
start1) + "," + str(
end1) + "\t" + head + "," + relation2 + "," + tail2 + "," + str(
start2) + "," + str(end2)
Conflict_Fact_set.append(inconsistent_pair)
elif ZHC_relations[j][2].__eq__("start"):
if Interval_Relations.start(start1, end1, start2, end2) == -1:
inconsistent_pair = zero_hop_constraints[j]+"\t"+head + "," + relation1 + "," + tail1 + "," + str(
start1) + "," + str(
end1) + "\t" + head + "," + relation2 + "," + tail2 + "," + str(
start2) + "," + str(end2)
Conflict_Fact_set.append(inconsistent_pair)
elif ZHC_relations[j][2].__eq__("finish"):
if Interval_Relations.finish(start1, end1, start2, end2) == -1:
inconsistent_pair = zero_hop_constraints[j]+"\t"+head + "," + relation1 + "," + tail1 + "," + str(
start1) + "," + str(
end1) + "\t" + head + "," + relation2 + "," + tail2 + "," + str(
start2) + "," + str(end2)
Conflict_Fact_set.append(inconsistent_pair)
return Conflict_Fact_set
def Refined_Subgraph_Detection3(temporal_KG,Constraint_Set):
'''
translate and execute constraint
:param Conflict_temporal_facts:
:param constraint:
:return:
'''
# TODO
# simplify_constraint()
Conflict_Fact_set=[]
# functional constraints detection
one_hop_constraints = Constraint_Set
print("len of constraint4:", len(one_hop_constraints))
SOH_relations = []
index_dict = {}
count = 0
for c in one_hop_constraints:
c = c.split("|")[0]
elem = c.split(" ")
if elem[2].__contains__("class"):
atom2 = elem[0]
type2 = elem[1].split(",")[2]
type3 = elem[2].split(",")[2]
SOH_interval_relation = elem[3]
SOH_interval_relation = "inverse_" + SOH_interval_relation
atom1 = elem[4]
type1 = elem[5].split(",")[2]
path1 = atom1.split(",")[1]
edges1 = path1.split("*")
path2 = atom2.split(",")[1]
edges2 = path2.split("*")
else:
atom1 = elem[0]
type1=elem[1].split(",")[2]
SOH_interval_relation = elem[2]
atom2 = elem[3]
type2 = elem[4].split(",")[2]
type3 = elem[5].split(",")[2]
path1 = atom1.split(",")[1]
edges1 = path1.split("*")
path2 = atom2.split(",")[1]
edges2 = path2.split("*")
SOH_relation0 = atom1.split(",")[1]
SOH_relation1 = path2.split("*")[0]
SOH_relation2 = path2.split("*")[1]
relation_pair = [SOH_relation0+"*"+type1, SOH_relation1+"*"+type2, SOH_relation2+"*"+type3, SOH_interval_relation]
key = SOH_relation0 + "*" +type1+"*"+ SOH_relation1 +"*"+type2 + "*" + SOH_relation2 +"*"+type3
index_dict[key] = count
count += 1
SOH_relations.append(relation_pair)
# [[P54,P569,before],[P54,P570,before]]
first_relations=set()
second_relations=set()
for p in SOH_relations:
first_relations.add(p[0].split("*")[0])
first_relations.add(p[1].split("*")[0])
for p in SOH_relations:
second_relations.add(p[2].split("*")[0])
vertex_count = 0
pre = time.time()
for i in temporal_KG.eVertexList:
v = temporal_KG.eVertexList[i]
vertex_count += 1
if vertex_count % 1000000 == 0:
ed = time.time()
print("have traversed nodes:", vertex_count)
print("time cost:", ed - pre, "s")
if v.isLiteral==True:
continue
if len(v.hasStatement) < 2:
continue
else:
all_relation_pairs = {}
# a quick prune
filter_count = 0
for j in range(len(v.hasStatement)):
s = v.hasStatement[j]
if first_relations.__contains__(s.getId()):
filter_count += 1
if filter_count < 2:
continue
for j in range(len(v.hasStatement)):
s1=v.hasStatement[j]
# a quick filtering
i1=s1.getStartTime()
i2=s1.getEndTime()
if i1!=-1 or i2!=-1:
if not first_relations.__contains__(s1.getId()):
continue
# search for one hop
for k in range(len(v.hasStatement)):
s2 = v.hasStatement[k]
# two node cannot equal
if j == k:
continue
# a quick filtering
if not first_relations.__contains__(s2.getId()):
continue
hasOneHopRelation=False
for l in s2.hasValue.hasStatement:
if not second_relations.__contains__(l.getId()):
continue
hasOneHopRelation=True
if hasOneHopRelation==False:
continue
for l in s2.hasValue.hasStatement:
if not second_relations.__contains__(l.getId()):
continue
r0 = s1.getId()
tail0 = s1.hasValue.getId()
r1 = s2.getId()
tail1 = s2.hasValue.getId()
r2 = l.getId()
tail2 = l.hasValue.getId()
if temporal_KG.entityType.__contains__(tail0):
if temporal_KG.entityType.__contains__(tail1):
if temporal_KG.entityType.__contains__(tail2):
# xoo
for t in temporal_KG.entityType[tail1]:
for u in temporal_KG.entityType[tail2]:
s = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
# oxo
for s in temporal_KG.entityType[tail0]:
for u in temporal_KG.entityType[tail2]:
t = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
# oox
for s in temporal_KG.entityType[tail0]:
for t in temporal_KG.entityType[tail1]:
u = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
# oxx
for s in temporal_KG.entityType[tail0]:
t = "null"
u = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
# xox
for t in temporal_KG.entityType[tail1]:
s = "null"
u = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
# xxo
for u in temporal_KG.entityType[tail2]:
s = "null"
t = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
# ooo
for s in temporal_KG.entityType[tail0]:
for t in temporal_KG.entityType[tail1]:
for u in temporal_KG.entityType[tail2]:
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
else:
# oox
for s in temporal_KG.entityType[tail0]:
for t in temporal_KG.entityType[tail1]:
u = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
# oxx
for s in temporal_KG.entityType[tail0]:
t = "null"
u = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
# xox
for t in temporal_KG.entityType[tail1]:
s = "null"
u = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
else:
if temporal_KG.entityType.__contains__(tail2):
# oxo
for s in temporal_KG.entityType[tail0]:
for u in temporal_KG.entityType[tail2]:
t = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
# oxx
for s in temporal_KG.entityType[tail0]:
t = "null"
u = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
# xxo
for u in temporal_KG.entityType[tail2]:
s = "null"
t = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
else:
# oxx
for s in temporal_KG.entityType[tail0]:
t = "null"
u = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
else:
if temporal_KG.entityType.__contains__(tail1):
if temporal_KG.entityType.__contains__(tail2):
# xoo
for t in temporal_KG.entityType[tail1]:
for u in temporal_KG.entityType[tail2]:
s = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
# xox
for t in temporal_KG.entityType[tail1]:
s = "null"
u = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
# xxo
for u in temporal_KG.entityType[tail2]:
s = "null"
t = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
else:
# xox
for t in temporal_KG.entityType[tail1]:
s = "null"
u = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
else:
if temporal_KG.entityType.__contains__(tail2):
# xxo
for u in temporal_KG.entityType[tail2]:
s = "null"
t = "null"
key = r0 + "*" + s + "*" + r1 + "*" + t + "*" + r2 + "*" + u
if index_dict.__contains__(key):
index = index_dict[key]
all_relation_pairs.setdefault(index, []).append(s1)
all_relation_pairs.setdefault(index, []).append(l)
all_relation_pairs.setdefault(index, []).append(s2)
for j in all_relation_pairs.keys():
# step=2
for k in range(0,len(all_relation_pairs[j]),3):
vertex1 = all_relation_pairs[j][k]
vertex2 = all_relation_pairs[j][k+1]
one_hop_vertex = all_relation_pairs[j][k + 2]
one_hop_entity = one_hop_vertex.hasValue.getId()
start1 = vertex1.getStartTime()
end1 = vertex1.getEndTime()
start2 = vertex2.getStartTime()
end2 = vertex2.getEndTime()
head = v.getId()
relation=SOH_relations[j][1]
relation1 = vertex1.getId()
if vertex1.hasValue.isLiteral == True:
tail1 = vertex1.hasValue.getLabel()
else:
tail1 = vertex1.hasValue.getId()
relation2 = vertex2.getId()
if vertex2.hasValue.isLiteral == True:
tail2 = vertex2.hasValue.getLabel()
else:
tail2 = vertex2.hasValue.getId()
# choose which interval relation is
if SOH_relations[j][3].__eq__("before"):
if Interval_Relations.before(start1,end1,start2,end2)==-1:
inconsistent_pair = one_hop_constraints[j]+"\t"+head+"," \
+ relation1 + "," + tail1 + "," + str(start1) + "," + str(
end1) + "\t" + head + ","+ relation+","+one_hop_entity+","+ relation2 + "," + tail2 + "," + str(start2) + "," + str(end2)
Conflict_Fact_set.append(inconsistent_pair)
if SOH_relations[j][3].__eq__("inverse_before"):
if Interval_Relations.before(start2, end2, start1, end1) == -1:
inconsistent_pair = one_hop_constraints[j] + "\t" + head + "," + relation + ","+one_hop_entity+","\
+ relation2 + "," + tail2 + "," + str(start2) + "," + str(
end2) + "\t" + head + "," + relation1 + "," + tail1 + "," + str(
start1) + "," + str(end1)
Conflict_Fact_set.append(inconsistent_pair)
elif SOH_relations[j][3].__eq__("include"):
if Interval_Relations.include(start1, end1, start2, end2) == -1:
inconsistent_pair = one_hop_constraints[j] + "\t" + head+"," \
+ relation1 + "," + tail1 + "," + str(start1) + "," + str(
end1) + "\t" + head + "," + relation + ","+one_hop_entity+","+ relation2 + "," + tail2 + "," + str(
start2) + "," + str(end2)
Conflict_Fact_set.append(inconsistent_pair)
elif SOH_relations[j][3].__eq__("inverse_include"):
if Interval_Relations.include(start2, end2, start1, end1) == -1:
inconsistent_pair = one_hop_constraints[j] + "\t" + head+"," + relation + ","+one_hop_entity+","\
+ relation2 + "," + tail2 + "," + str(start2) + "," + str(
end2) + "\t" + head + ","+ relation1 + "," + tail1 + "," + str(
start1) + "," + str(end1)
Conflict_Fact_set.append(inconsistent_pair)
elif SOH_relations[j][3].__eq__("start"):
if Interval_Relations.start(start1, end1, start2, end2) == -1:
inconsistent_pair = one_hop_constraints[j] + "\t" + head+"," \
+ relation1 + "," + tail1 + "," + str(start1) + "," + str(
end1) + "\t" + head + "," + relation + ","+one_hop_entity+","+ relation2 + "," + tail2 + "," + str(
start2) + "," + str(end2)
Conflict_Fact_set.append(inconsistent_pair)
elif SOH_relations[j][3].__eq__("finish"):
if Interval_Relations.finish(start1, end1, start2, end2) == -1:
inconsistent_pair = one_hop_constraints[j] + "\t" + head+"," \
+ relation1 + "," + tail1 + "," + str(start1) + "," + str(
end1) + "\t" + head + "," + relation + ","+one_hop_entity+","+ relation2 + "," + tail2 + "," + str(
start2) + "," + str(end2)
Conflict_Fact_set.append(inconsistent_pair)
return Conflict_Fact_set
def Refined_Conflict_Detection(temporal_KG, Constraint_Set,filename,typefile):
t0 = time.time()
# if knowledgebase == "wikidata":
# type_file = open("our_resource/wikidata-entity-type-info.tsv", "r", encoding="UTF-8")
# elif knowledgebase == "freebase":
# type_file = open("our_resource/freebase-entity-type-info.tsv", "r", encoding="UTF-8")
type_file = open(typefile, "r", encoding="UTF-8")
types = type_file.readlines()
type_file.close()
for line in types:
elems = line.strip().split("\t")
key = elems[0]
for i in range(1, len(elems)):
temporal_KG.entityType.setdefault(key, []).append(elems[i])
t1 = time.time()
print("read type cost time is:", t1 - t0, "s")
Conflict_Set = []
# functional constraints detection
functional_constraints = []
# inverse functional constraints detection
inverse_functional_constraints = []
# zero hop constraint detection
zero_hop_constraints = []
# one hop constraint detection
one_hop_constraints = []
for c in Constraint_Set:
c1=c.split("|")[0]
elem = c1.split(" ")
if len(elem)==5:
atom1 = elem[0]
class_type1=elem[1]
interval_relation = elem[2]
atom2 = elem[3]
class_type1=elem[4]
anchor = ""
if atom1.split(",")[0].__eq__(atom2.split(",")[0]):
anchor = "head"
elif atom1.split(",")[2].__eq__(atom2.split(",")[2]):
anchor = "tail"
if anchor == "head":
path1 = atom1.split(",")[1]
edges1 = path1.split("*")
path2 = atom2.split(",")[1]
edges2 = path2.split("*")
if edges1[0] == edges2[0] and len(edges1) == 1 and len(edges2) == 1:
functional_constraints.append(c)
elif edges1[0] != edges2[0] and len(edges1) == 1 and len(edges2) == 1:
zero_hop_constraints.append(c)
elif anchor == "tail":
inverse_functional_constraints.append(c)
elif len(elem)==6:
one_hop_constraints.append(c)
st = time.time()
Conflict_Set += Refined_Subgraph_Detection0(temporal_KG, functional_constraints)
ed0 = time.time()
print("Refined Detection0 cost time:", ed0 - st, "s")
Conflict_Set += Refined_Subgraph_Detection1(temporal_KG, inverse_functional_constraints)
ed1 = time.time()
print("Refined Detection1 cost time:", ed1 - ed0, "s")
Conflict_Set += Refined_Subgraph_Detection2(temporal_KG, zero_hop_constraints)
ed2 = time.time()
print("Refined Detection2 cost time:", ed2 - ed1, "s")
Conflict_Set += Refined_Subgraph_Detection3(temporal_KG, one_hop_constraints)
ed3 = time.time()
print("Refined Detection4 cost time:", ed3 - ed2, "s")
Detected_Constraint_Set = set(inverse_functional_constraints).union(set(functional_constraints))
Detected_Constraint_Set = Detected_Constraint_Set.union(zero_hop_constraints)
Detected_Constraint_Set = Detected_Constraint_Set.union(one_hop_constraints)
print("Total Constraint number is", len(Constraint_Set))
print("Detected Constraint number is", len(Detected_Constraint_Set))
print("Constraints not detected yet:")
Undetected_Constraint_Set = set()
Undetected_Constraint_Set = set(Constraint_Set).difference(Detected_Constraint_Set)
print(Undetected_Constraint_Set)
conflict_file = open(filename.replace("resource","output").replace(".tsv","") + ".refined_conflict", "w", encoding="UTF-8")
conflict_file.writelines("\n".join(Conflict_Set))
return Conflict_Set
def test():
Refined_Conflict_Detection()
return
if __name__ == '__main__':
test()