Virtual Learning Factory Toolkit
  • Virtual Learning Factory Toolkit
  • VLF Knowledge Base
    • Factory Data Model
      • OWL Classes
      • SPARQL Queries
      • SPARQL Updates
    • Instantiation of Factory Models
      • Assets
        • Assets in Spreadsheet
        • Assets in JSON
        • Assets in Ontology
      • 3D Models of Assets
        • 3D Models for Virtual Reality
      • Animations
      • Data Repositories
        • Local Repository
        • Remote Repository
  • VLF Tools and Libraries
    • OntoGui
      • Modules
        • Control Panel
        • Individual Manager
        • System Design
        • Utilities
      • Personalization
    • OntoGuiWeb
      • Modules
        • Control Panel
        • SPARQL
        • Graphs OWL
        • Utilities
        • Asset Design
        • System Design
        • System Control
        • Performance Evaluation
        • MQTT Sync
        • Virtual Environment
        • Graphs Eng
        • StateChart
      • Personalization
    • jsimIO
      • How to start
      • JMT Overview
        • JSim
          • Model generation
          • Launch of the simulation
          • Reporting
        • Bibliography
    • VEB.js
      • Functionalities
      • Input/Output files
      • Integration with other software tools
      • Advanced Users
    • ApertusVR
    • MTM
      • How to start
      • Formalise the process
      • Prepare input data
      • Execution and results
    • MOST
      • How to start
      • Formalise the process
      • Prepare input data
      • Execution and results
    • RULA
      • How to start
      • Formalise the process
      • Prepare input data
      • Execution and results
    • OCRA
      • How to start
      • Prepare input data
      • Execution and results
  • Use Cases
    • Automated Assembly Line
    • Assets and Animations
    • Modelling of Factory Assets
      • Modelling of an Assembled Product
      • Modelling of a Workstation
      • 3D Modelling of a Workstation for Virtual Reality
    • Process Modelling
      • Modelling an Assembly Process
    • Modelling of a manufacturing system
      • Modelling in OntoGui
      • Modelling a Job Shop using OntoGui
      • Modelling of a Flow Shop using OntoGui
      • Modelling a Hybrid Flow Shop using OntoGui
      • Modelling an assembly system using OntoGui
    • Performance evaluation using jsimIO
      • Performance evaluation of a manufacturing system
        • Performance evaluation in Jsim
        • Performance evaluation of a Flow Shop using Jsim
        • Performance Evaluation of a Job Shop using JSim
        • Performance evaluation of a Hybrid Flow Shop using Jsim
        • Performance evaluation of an assembly system using Jsim
      • jsimIO Assembly
      • jsimIO Automatic
      • jsimIO Production
  • Classworks
  • Advanced Features
    • JMT model
      • Automatic generation of a JMT model
      • Automatic generation of animations
    • Enabling technologies
      • Node-RED
        • Node-RED tutorial
      • RDF libraries
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  • RDF store
  • Online repository for binary/text files

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  1. VLF Knowledge Base
  2. Instantiation of Factory Models
  3. Data Repositories

Remote Repository

Remote repositories are typically installed on servers. In most cases, a remote repository can be made operational also locally by running a localhost.

RDF store

Commercial and non-commercial RDF stores, also named Triplestores, are available, e.g. Stardog, Apache Jena Fuseki, Virtuoso.

RDF stores are typically structured into Datasets/Databases.

Apache Jena Fuseki

Apache Jena Fuseki is a SPARQL server that can run as an operating system service, as a Java web application (WAR file), or as a standalone server.

After downloading and unzipping Apache Jena Fuseki .zip file, the simplest way to run Fuseki as a Standalone Server by executing fuseki-server from the command prompt (or launching fuseki-server.bat in Windows).

The default location of a Fuseki server installation is http://localhost:3030

A demo Fuseki SPARQL Endpoint with a Dataset named "VLFT" is available here.

Online repository for binary/text files

GitHub repositories can be exploited to store binary files (e.g. 3D models, animation sequences) and make them available via secure HTTP connections.

  1. After your GitHub registration, you can create a new repository as "Public".

  2. Upload binary files to the repository ("Add file", "Upload files") and "Commit changes", creating the repository directories that you prefer.

A couple of examples:

  • repository https://github.com/KhronosGroup/glTF-Sample-Models with file 2.0/WaterBottle/glTF-Binary/WaterBottle.glb

  • repository https://github.com/difactory/repository with file example_1.json

Option 1

Each file in the repository can be directly retrieved with a URL structured as https://raw.githubusercontent.com/$User/$Repository/$Branch/$LocalFilePath where $User is the registered GitHub user, $Repository is the chosen name of the repository, $Branch is the selected versioning branch (e.g. "main"), and $LocalFilePath is the local of the file in the repository. The example files are available at these URLs:

  • https://raw.githubusercontent.com/KhronosGroup/glTF-Sample-Models/master/2.0/WaterBottle/glTF-Binary/WaterBottle.glb

  • https://raw.githubusercontent.com/difactory/repository/main/scenes/ex/example_1.json

Option 2

For a given GitHub repository it is possible to activate the GitHub Pages option ("Project site") that turns the repository into a website. The second example file is available at this URL:

  • https://difactory.github.io/repository/scenes/examples/example_1.json

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Last updated 1 year ago

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