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P6-good-description-for-graphs

Research into a framework/language for describing RDF endpoints to enable effective query federation.

Project Plan

---
displayMode: compact
---
gantt
    title Bachelor Project Timeline
    dateFormat  YYYY-MM-DD
    excludes weekends
    
    section Project Paper
    Introduction: active, 2023-03-01, 2023-03-15
    Related Works : active, 2023-03-09, 2023-03-17
    Method : 2023-03-13, 2023-04-21
    Results : 2023-04-03, 2023-04-21
    Discussion : 2023-04-17, 2023-05-05
    Conclusion : 2023-04-24, 2023-05-05
    Final adjustments : 2023-05-02, 2023-05-12
    Abstract: 2023-05-02, 2023-05-06
    Deadline: crit, milestone, 2023-05-19, 0d
    Handin: crit, milestone, 2023-05-25, 0d
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Setup locally

This project is written in LaTeX. To prepare your local machine for this project, follow this guide.

  1. Install Visual Studio Code (VSCode) in Windows (Visual Studio Code).
    • Install the Remote Development extension in VSCode.
  2. Install Windows Terminal (Microsoft Store).
    • Consider installing Oh My Posh (guide).
  3. Install WSL with latest Ubuntu distribution (guide).
  4. Install WSLU (guide).
  5. Install GitHub CLI (guide).
    • Authorize and setup the gh CLI too.
  6. Run the setup scripts for P6 and VSCode (scripts).
  7. Clone the repo to your WSL and get to work 😄

Setup Database with Docker

This project uses GraphDB. To work in a GraphDB through Docker, follow this guide.

  1. Install Docker Desktop in Windows (Docker Desktop)
    • This installs Docker in WSL as well.
    • Make sure to select the Student, learning and teaching use.
  2. Run docker compose up --build from your local project folder in WSL to create your local database.
    • Optionally open Docker Desktop in Windows to manage your containers directly.
  3. Go to http://localhost:7200/ to access the GraphDB workbench.

Reset Database

To reset the database to the default state run the following commands:

docker compose down -v
docker compose up --build

Download data with git lfs

This project uses git lfs. To work with large files, follow this guide.

  1. Run curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash && sudo apt install git-lfs to install git lfs.
  2. Download a specific data file by running, for example, git lfs pull --include "one-million.nt"
    • git lfs fetch --all downloads all files