Music Influence

Creation of an Ontology and a Knowledge Graph that models the influences between different artists for the Knowledge Engineering exam of A.Y. 2022-2023.

Authors

Francesco Alfieri
Daniele Marini

Usage

The ontology is in the file 'Protege_Ontology.ttl', and has to been opened with Protegé.

In order to query the Knowledge Graph we use a free and open source Java framework called Fuseki.

The first thing to do is to clone the repository to have access to the data:

git clone https://github.com/KE-Project/music_influence.git

Requirements

For running the query we first have to download fuseki: we can do that from here. After unzipping the file, access the directory:

cd PATH/apache-jena-fuseki-4.8.0

and start the server by running

java -jar fuseki-server.jar

After that the server can be reached on port 3030: http://localhost:3030/

Import of the data

After opening fuseki the first thing we have to do is to create a dataset selecting the following steps:

select add one
- choose a name
- select the In-memory – dataset option
- select create dataset

Now we can select :

add data
select files (we will select the following files)
- Protege_Ontology.ttl
- All the files inside ChatGPT data directory
- All the files inside LinkedJazz data directory
upload all

Query the Graph

At this point we can easly query the graph in the query section. Here an example of query that returns the artists that collaborated with Louie_Bellson:

PREFIX rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#>
PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
prefix mi: <http://www.semanticweb.org/KEProject/MusicalInfluences#>

SELECT ?artistName WHERE {  
	mi:Louie_Bellson mi:collaboratedWith ?artist.
    ?artist rdfs:label ?artistName.
}