Introduction
Epsilon Ontology Evaluation System is created as part of a Semester project in 2021 with the main goal to apply the existing Evaluation Metrics,Pitfall detection techniques and provide simplified results using visualization techniques
Statistics
Inspired by the development of semantic technologies in recent years, in statistical analysis field the traditional methodology of designing, publishing and consuming statistical datasets is evolving to so-called “Linked Statistical Data” by associating semantics with dimensions, attributes and observation values based on Linked Data design principles
Metrics
This project attempted to investigate known evaluation metrics on given ontologies. The main goal is to extract useful information and quantities which then can help with the calculation of simple, intermediate and more advanced evaluation metrics for each of the given ontologies. Eight evaluation metrics were implemented in total giving useful results for each of the ontologies
Pitfalls
Ontology modelling has become one of the major topics of the field in recent years. It is important to note, however, that this process is tightly connected with a number of difficulties that can influence the outcome and lead to errors in the developed ontologies. This leads us to the topic of Pitfalls detection, which has become crucial in order to achieve an efficient and smooth work of ontologies
.Our Work
This website is created as part of a semester project for "Semantic Web" class of the Postgraduate Program of Hellenic Mediterranean University.Epsilon Ontology Evaluation System has been used for applyingknown evaluation metrics on given ontologies. The main goal of our system is to give the user a simple and visual way to obtain and understand information about Ontologies that we described earlier. Our system analyzes the provided ontologies and summarizes the obtained results using visualization techniques. User has the ability to choose the information he is interested in using simple User Interface and view the calculated results in runtime. Epsilon Ontology Evaluation System makes a request to the REST API created by OOPS. The visualized results of our study can bee seen bellow.