From 3a1cb54e051ab1ae72050961b584622798880351 Mon Sep 17 00:00:00 2001
From: AnonymousConferenceSubmission
<127930083+AnonymousConferenceSubmission@users.noreply.github.com>
Date: Tue, 28 Mar 2023 10:05:25 +0200
Subject: [PATCH] Update AccessAQM.py
---
application/AccessAQM.py | 9 +++------
1 file changed, 3 insertions(+), 6 deletions(-)
diff --git a/application/AccessAQM.py b/application/AccessAQM.py
index 2ef6ad7..9b53c85 100644
--- a/application/AccessAQM.py
+++ b/application/AccessAQM.py
@@ -48,25 +48,22 @@ def getAQM(conversion=True):
def createAQMSubgraphForConsensus(source, conversion=True):
"""
This function shall enable the analysis of semantic equivalence of one quality model (source) with the others in the AQM.
- Thereby, different understandings about quality models are aligned resulting in a consensus about quality.
- If the AQM contains domain standards with regulations on the desired quality, the fulfillment of this regulations can be verified.
-
A subgraph of the AQM is needed, containing the requested quality model (source) and quality attributes of other quality models,
that are aligned via the isEquivalent object property.
Note: The source needs to be a string representation of the annotation property "Citation" in the AQM (currently in AlphaBixTex format)
"""
- #Load current backup of the AQM and create empty subgraph
+ #Load the current backup of the AQM and create an empty subgraph
aqm = rdflib.Graph(base="http://www.semanticweb.org/beyersdo/ontologies/2022/10/AQM#")
aqm.parse(os.path.join(str(os.getcwd()) + "\\application\\static\\data\\AQM.owl"))
subgraph = rdflib.Graph()
- #Iterate through all triples with the annotation property "Citation" having the value of the requested source.
+ #Iterate through all triples with the annotation property "Citation" and having the value of the requested source.
for s, p, o in aqm.triples((None, ci, rdflib.Literal(source, lang="en"))):
- subgraph.add((s,p,o)) #subgraph now contains all quality attributes of the requested quality model
+ subgraph.add((s,p,o)) #subgraph now contains all quality attributes / variation factors of the requested quality model
#For given quality attribute / variation factor, add properties (e.g. subClassOf or annotations)
for s1, p1, o1 in aqm.triples((s, None, None)):
--
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