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heigvd-software-engineering / semantic-flow

Web solution for visual RDF graphs editing using SPARQL protocol.
MIT License
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editor graph linked-data ontology rdf semantic sparql

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SemanticFlow

workspace SemanticFlow is a Web solution for visual RDF graphs editing.

Can adapt to varied use cases thanks to its template configuration. Configuring a template allows you to define the structure of the RDF resources and properties managed by the tool. Thus, the user can intuitively edit graphs of any nature. The user is assisted by a set of attribute editors that allow simple and intuitive data editing experience.

Includes advanced functionalities allowing spatio-temporal data management adapted to the needs of research on the history of Swiss territorial control.

RDF data manipulation is done via SPARQL query language. SPARQL, a W3C standard, is a reference in the RDF field. Our solution is therefore compatible with many existing RDF data sources.

Motivations

Since Semantic Web ontologies are often overly complex, the objective is to configure the editor using templates to edit the RDF graph intuitively.

Configuring a template allows the user's view of the graph to be reduced to the resources and properties of interest. Editing large RDF graphs thus becomes much more ergonomic.

Quick start /docker

docker compose build
docker compose up

Will run the docker-compose file and start both Apache Jena Fuseki and SemanticFlow.

Installation instructions /without docker

Please refer to detailed installation instructions.

Setup the RDF dataset

Both Dockerized and non-Dockerized installations will run Apache Jena with an empty dataset named ds.

Apache Jena UI console is accessible via http://localhost:3030/.

The dataset /ds should be available in the list. Apache Jena offers several endpoints per dataset. The rdf editor is configured to use the dataset called ds, if you change this configuration, please name the dataset accordingly.

Add data into the dataset

Once the dataset is ready, click on add data and select musici.ttl from ./data. That dataset originates from Stardog and contains 50 000 triples.

SemanticFlow do not require any data to be loaded in the dataset. This part is not required. You can run the editor on an empty dataset as well.

SemanticFlow User Manual

Please refer to user manual.

Configuration

Contents

- ./web : SemanticFlow RDF editor. 
- ./documentation : SemanticFlow documentation.
- ./docker/jena-fuseki : Dockerfile for Apache Jena Fuseki . 
- ./data : importable RDF data.