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Migrate to Hugo
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.github/workflows/hugo.yml

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# Sample workflow for building and deploying a Hugo site to GitHub Pages
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name: Deploy Hugo site to Pages
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on:
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# Runs on pushes targeting the default branch
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push:
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branches: ["main"]
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# Allows you to run this workflow manually from the Actions tab
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workflow_dispatch:
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# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
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permissions:
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contents: read
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pages: write
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id-token: write
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# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
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# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
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concurrency:
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group: "pages"
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cancel-in-progress: false
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# Default to bash
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defaults:
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run:
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shell: bash
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jobs:
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# Build job
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build:
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runs-on: ubuntu-latest
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env:
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HUGO_VERSION: 0.128.0
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steps:
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- name: Install Hugo CLI
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run: |
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wget -O ${{ runner.temp }}/hugo.deb https://github.com/gohugoio/hugo/releases/download/v${HUGO_VERSION}/hugo_extended_${HUGO_VERSION}_linux-amd64.deb \
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&& sudo dpkg -i ${{ runner.temp }}/hugo.deb
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- name: Install Dart Sass
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run: sudo snap install dart-sass
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- name: Checkout
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uses: actions/checkout@v4
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with:
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submodules: recursive
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- name: Setup Pages
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id: pages
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uses: actions/configure-pages@v5
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- name: Install Node.js dependencies
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run: "[[ -f package-lock.json || -f npm-shrinkwrap.json ]] && npm ci || true"
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- name: Build with Hugo
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env:
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HUGO_CACHEDIR: ${{ runner.temp }}/hugo_cache
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HUGO_ENVIRONMENT: production
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run: |
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hugo \
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--minify \
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--baseURL "${{ steps.pages.outputs.base_url }}/"
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- name: Upload artifact
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uses: actions/upload-pages-artifact@v3
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with:
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path: ./public
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# Deployment job
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deploy:
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environment:
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name: github-pages
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url: ${{ steps.deployment.outputs.page_url }}
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runs-on: ubuntu-latest
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needs: build
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steps:
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- name: Deploy to GitHub Pages
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id: deployment
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uses: actions/deploy-pages@v4

.gitignore

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.hugo_build.lock
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public/
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resources/
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README.md

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# TTC Website
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The website uses Hugo.

archetypes/default.md

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---
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title: {{ replace .File.ContentBaseName "-" " " | title }}
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date: {{ .Date }}
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tags: []
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featured_image: ""
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---

assets/scss/style.scss

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$navbar-inverse-bg: #27755e;
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$navbar-inverse-link-color: #dfe9dc;
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@import "bootstrap/bootstrap";
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body {
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padding-top: 50px;
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font-size: 16px;
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}
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body:last-child {
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margin-bottom: 10%;
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}
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// Fix icons in navbar to be less padded, but larger
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.navbar-right li a {
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padding: 8px;
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text-align: left;
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}
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.navbar img {
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height: 32px;
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}
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// Make a bit of space around logo
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img#logo {
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padding-top: 10px;
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padding-right: 10px;
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}
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// Don't use bulleted lists on People page
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ul.people {
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list-style-type: none;
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padding-left: 5px;
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li {
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margin-bottom: 0.75em;
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}
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}

content/_index.md

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---
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title: "Transformation Tool Contest"
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cascade:
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featured_image: 'raven_logo.jpg'
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---
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content/aims_and_scope.md

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---
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title: Aims and Scope
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menus:
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- main
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---
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### Motivation
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Transformations of structured data such as relational data, abstract
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syntax trees and high-level graph-based models are cross-disciplinary at
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the heart of a wide range of applications. The success of transformation
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approaches heavily depends on the availability of expressive and
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efficient tools. Currently, a large variety of tools exist for different
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transformation approaches. However, for potential users, working in
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application domains where transformation techniques may be useful, it is
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difficult to select the right tool for their purpose. Moreover, even for
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most of the tool experts it is true that they know about one or two
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tools but little about others. Finally, the tool developers themselves
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can also be inspired by a more detailed understanding of related
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approaches.
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### Aims
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The aim of this event is to evaluate and compare the expressiveness, the
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usability and the performance of transformation tools for structured
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data along a number of selected challenging case studies. That is, we
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want to learn about the pros and cons of each tool considering different
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applications. A deeper understanding of the relative merits of different
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tool features will help to further improve the existing tools, to
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indicate open problems, and to integrate and standardize transformation
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tools.
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### Scope
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There is a wide range of application domains of transformation tools,
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including software engineering, business intelligence, logistics,
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healthcare and bioinformatics, as well as semantic web and social
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network analysis.
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Specific areas of transformations relevant for the TTC include (among
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others):
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- model synchronisation and merging,
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- program manipulation and translation,
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- interoperability and migration,
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- model execution and simulation,
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- verification of models and transformations,
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- knowledge extraction and semantic search
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If you are working in one of these area or a different domain where
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structured data transformations are relevant, please consider submitting
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a case.

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