UI Tour — The Research Graph¶
This tour takes you through every feature of Moire using a real knowledge graph: a small dataset of Scandinavian academics, their universities, cities, research topics, and papers. Each step shows you one thing the interface can do, in the order you would naturally encounter it as a new user.
You do not need to read this tour before using Moire — but if you want to understand what you are looking at before you start clicking, this is the fastest way to get there. Follow along with a live instance loaded with the sample-moire1.sql demo dataset, or just read through to get a feel for how navigation works.
The dataset¶
The research graph contains six academics at three Scandinavian universities:
- Professors: Erik Rogstad (University of Oslo), Julia Lindström (Uppsala University), Anders Bergström (KTH Royal Institute of Technology)
- PhD students: Maria González (University of Oslo), Olivier Dupont (Uppsala University), Anna Kowalski (KTH)
- Universities: University of Oslo, Uppsala University, KTH Royal Institute of Technology
- Research groups: Knowledge Graphs Group, SPARQL Optimization Group, RDF Storage Group
- Cities: Oslo, Uppsala, Stockholm
- Topics: Knowledge Graphs, SPARQL, RDF, Graph Compression, Data Quality
- Projects: Linked Graphs Initiative, SPARQL Federation
- Papers with citation counts, publication years, and authorship relationships
Every step in this tour uses this data. The names are real enough to be memorable and the connections are varied enough to demonstrate everything Moire can do.
Tour steps¶
| Step | What you will see |
|---|---|
| Step 1 — Graphs Browser | Connecting and choosing a graph |
| Step 2 — Types Browser | The class hierarchy and choosing a starting type |
| Step 3 — Set View | Entity cards and the auto-generated facet sidebar |
| Step 4 — Filtering with Facets | Narrowing a set, empty states, clearing filters |
| Step 5 — Following a Relationship | Jump via strip and the Relationships Browser |
| Step 6 — Chaining Traversals | Multi-hop exploration via the context header |
| Step 7 — Opening an Entity | Entity detail and the relationship table |
| Step 8 — Resource-to-Resource Navigation | Clicking an IRI-valued relationship |
| Step 9 — Exploring Layers | The layer selector and neighbourhood exploration |
| Step 10 — Using Search | The ⌘K search palette |
| Tour Summary | Every feature mapped to the step that demonstrated it |