From 7a795c19529842ff6b7cf108ba878811a494066b Mon Sep 17 00:00:00 2001 From: OumaimaAMAL <117732363+OumaimaAMAL@users.noreply.github.com> Date: Wed, 5 Mar 2025 11:30:33 +0100 Subject: [PATCH] Update README.md --- README.md | 9 +++++++-- 1 file changed, 7 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index f34ece4..a058403 100644 --- a/README.md +++ b/README.md @@ -19,7 +19,9 @@ The **Data Quality Assessment Ontology (DQA)** is a suggested extension of the [ Below is a diagram that represents the DQ Assessment Ontology (DQA): - +<p align="center"> + <img src="dqa-ontology.png" alt="DQA Overview"> +</p> ### Ontology Classes @@ -56,7 +58,9 @@ The ontology defines the following data properties: We consider a simple baseline example. The use case involves five devices installed in a classroom within a campus building. These devices include five sensors: two presence sensors and three integrated into three platforms—an air conditioner, a projector, and a ventilation system—all of which track their energy consumption (in watts) as observations. The use case is described using SOSA. - +<p align="center"> + <img src="useCase.png" alt="Use case Overview"> +</p> ### Steps of DQA based approach and examples @@ -64,6 +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. + ex:obs_001 a sosa:Observation ; rdfs:comment "Observation of energy consumption from airconditioner#32" ; sosa:hasFeatureOfInterest ex:room016 ; -- GitLab