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KGE project- Tourist facilities

This project was developed in the academic year 2022/23 for the course Knowledge Graph Engineering.
In this page there will be links to all the resources used for this project.

Project purpose

The aim of this project is to create a KG that can provide information about Trentino’s touristrelated facilities. In another word, the final KG can be used to provide a general-purpose service helping tourists to find information about the various tourism-related hospitality facilities in the region of Trentino. In a nutshell, the purpose of this project is described as:

”A service which helps the users to know about different tourist facilities in Trentino.”

Datasets

Initial resources were taken from the Open Data platform of the Trentino region and the website of Trentino Trasporti. Other resources were scraped from websites and OpenStreetMap (more information can be found in the report).
After following the iTelos methodology, the final processed datasets can be found here.

Reference schemas

To ensure reusability we took the information from schema.org, which provided us with the structure of our model. In particular, here are the following references:

ETG

Uniting the entities we extracted from the methodology phases with the reference ontology, we obtained the final ETG.

This model presents many kinds of entities, because the purpose, asking for tourist facilities, includes transportation, businesses (like shops or food facilities) and the tourist themselves. More precisely, the Place concept includes both tourist attractions and local businesses; local businesses include stores, food establishments and lodging businesses. Then, transportation includes stops for certain transportation methods and the companies dedicated to this function. ETG

Knowledge Graph

At the end of this process we were able to construct the final Knowledge Graph and, through GraphDB, we called our queries presented as competency questions with SPARQL language.
This KG is exploitable based on the search on graph DB with SPARQL and also from the visualization section of the graph DB. Based on this, we can satisfy the CQs that have been made in the previous sections. This means that the graph that is representative of this KG can cover our needs for the tourist facilities as our scenarios try to simulate them.

We ended up with:

  • 15 Entities
  • 10 object properties
  • 27 data properties

Repository

For more information please check the complete repository.
If more detailed information is needed, the complete report can be found here.

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