Moire¶
Faceted navigation for knowledge graphs.
Moire lets you explore the structure and content of a knowledge graph the way you would explore a well-organised library — starting broad, narrowing down, following connections, and backtracking when you want to try a different path. No query language required. No technical knowledge needed. Just curiosity and a few clicks.
What would you like to do?¶
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Just getting started?
Learn what Moire is, connect your first knowledge graph, and get your bearings in the interface.
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Want a guided tour?
Follow a step-by-step walkthrough of the interface using a real research knowledge graph. See every feature in action before you read a word of explanation.
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Want to understand the ideas?
Read about entities, relationships, sets, lenses, and layers — the six concepts that make Moire tick. Each one is explained with an everyday analogy first, jargon second.
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Looking for how to do something?
Practical, task-focused guides for every navigation mode: filtering with facets, following relationships across a set, exploring entity detail, searching, and more.
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Need a quick reference?
Keyboard shortcuts, the glossary, facet count behaviour, empty states, and a full Relationships Browser reference.
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Want to go deeper?
Connecting different database types, unlocking advanced features with pg-ripple, multi-hop exploration strategies, and tips for large graphs.
The one-paragraph version¶
Moire connects to any SPARQL-compatible knowledge graph database and gives you a browsable, filterable, navigable window into the data. You pick a type of thing to look at — say, "all the researchers in this graph" — and Moire shows them as a set of cards. You narrow the set by clicking filters, or you move the entire set through a relationship to arrive at a new group of connected entities. Click any individual item to read its full detail and follow its connections one by one. The context header at the top of every screen tells you — in plain language — exactly where you are and how you got there.