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Landing Page

Features

The search bar is the main way to explore the Knowledge Graph. It sits at the centre of the page and lets you search across all available content.

hkg-landing-search-bar

  • Search field — Type any keyword, topic, or resource name to get started.
  • Category filter (dropdown) — To the left of the search field, a dropdown labelled "All" lets you narrow your search to a specific type of content category before you search.
  • Search button — Click the teal magnifying glass icon to run your search.

🎲 "Show Me Something Interesting"

Below the search bar, there is a button labelled "show me something interesting".

hkg-dice-button

Clicking this will surface a random or highlighted item from the Knowledge Graph — a great way to explore if you are not sure where to start.


📋 Information Cards

Below the hero section, the page displays three information cards that explain what the platform offers:

CardWhat it covers
About the Knowledge GraphExplains the mission of HelmholtzKG — strengthening metadata quality, data findability, visibility, and reuse across the Helmholtz Association. Includes a link to learn more.
Organizing PrinciplesDescribes how digital assets are structured into semantic categories, and how the search interface helps you explore connections. Links to the underlying documentation.
Access the Full DatasetExplains how to query the complete Knowledge Graph using SPARQL endpoints. Directs you to QLever for high-performance queries or Virtuoso for advanced SPARQL features.

Each card has an arrow link () to take you to more detailed information.

hkg-landing-info-cards

To the right of the information cards, four quick-access buttons are available:

  • QLever SPARQL — Launch the QLever interface to run high-performance SPARQL queries.
  • Virtuoso SPARQL — Access the Virtuoso endpoint for advanced query features.
  • Source Code — View the source code repository (links to GitLab).
  • Documentation — Open the platform documentation.

Getting Started

If you are new to the platform, here are a few suggested first steps:

  1. Use the search bar to look up a dataset, tool, or research topic you are interested in.
  2. Try the category filter to narrow results to a specific type of content.
  3. Click "show me something interesting" to browse the Knowledge Graph without a specific goal in mind.
  4. Read the information cards to understand how data is organised and how to access the full dataset.
  5. Use the quick access links if you want to run SPARQL queries or explore the documentation directly.