diff --git a/README.md b/README.md
index a0584033676dcb6ed2125158379aab9a7adf346f..421d9338c9a3e093064951aa30229b808e016829 100644
--- a/README.md
+++ b/README.md
@@ -68,7 +68,7 @@ We consider a simple baseline example. The use case involves five devices instal
The first step involves receiving an observation and enriching it using the **SOSA** ontology. This phase does not require describing the processing of the observation in terms of representational indicators, as these mainly concern the proper representation of data rather than its qualitative assessment. Once enrichment is completed, the observation is stored in the GC repository to be used in the evaluation phases.
-
+<pre> ```ttl
ex:obs_001 a sosa:Observation ;
rdfs:comment "Observation of energy consumption from airconditioner#32" ;
sosa:hasFeatureOfInterest ex:room016 ;
@@ -76,7 +76,7 @@ ex:obs_001 a sosa:Observation ;
sosa:madeBySensor <http://www.w3.org/ns/sosa/examples#PZEM-004T#53> ;
sosa:observedProperty ex:energyConsumption ;
sosa:resultTime "2025-01-31T08:00:00"^^xsd:dateTime ;
- sosa:usedProcedure ex:RoomPowerConsumption .
+ sosa:usedProcedure ex:RoomPowerConsumption . ``` </pre>
#### Step 2: Evaluating DQ Indicators at the UO Level
@@ -85,6 +85,7 @@ At this step, DQ indicators that can be assessed on a single observation (**UO**
##### Formula-Based Method (Accuracy) :
+<pre> ```ttl
ex:AccuracyAssessmentobs_018 a dqa:QualityAssessmentProcess ;
dqa:assessesIndicator ex:Accuracy ;
dqa:hasGranularity dqa:GranularityUniqueObservation ;
@@ -106,12 +107,12 @@ ex:Accuracy a dqv:Dimension ;
ex:Accuracy_obs_018Result a dqv:QualityMeasurement ;
sdmx-attribute:unitMeasure <http://www.w3.org/vocabularies/om-1.8/Percentage> ;
dqv:isMeasurementOf ex:MetricAccuracyMethod ;
- dqv:value 9.8e+01 .
+ dqv:value 9.8e+01 . ``` </pre>
##### Source-Based Method (Provenance) :
-
+<pre> ```ttl
ex:ProvenanceAssessmentobs_018 a dqa:QualityAssessmentProcess ;
dqa:assessesIndicator ex:Provenance ;
dqa:hasGranularity dqa:GranularityUniqueObservation ;
@@ -123,7 +124,7 @@ ex:ProvenanceMethod a dqa:SourceBasedMethod ;
ex:Provenance a dqv:Dimension ;
skos:definition "Provenance refers to the source of the data values and its description." ;
- skos:prefLabel "Provenance"@en .
+ skos:prefLabel "Provenance"@en . ``` </pre>
#### Step 3: Evaluating DQ Indicators at the SO-SD and SO-MD Levels
@@ -137,6 +138,7 @@ To structure this step, the **OBOE** ontology is used to define the sets of obse
##### Formula-Based Method (Duplication) :
+<pre> ```ttl
ex:ObservationCollection_1 a obeo:ObservationCollection ;
obeo:hasMember ex:obs_001, ex:obs_002, ex:obs_003, ex:obs_004, ex:obs_005 .
@@ -161,7 +163,7 @@ ex:Duplication a dqv:Dimension ;
ex:Duplication_set_obs_1_Result a dqv:QualityMeasurement ;
sdmx-attribute:unitMeasure <http://www.w3.org/vocabularies/om-1.8/Percentage> ;
dqv:isMeasurementOf ex:MetricDuplication ;
- dqv:value "0.0"^^xsd:float .
+ dqv:value "0.0"^^xsd:float . ``` </pre>