StackMap
Subscribe
Explore / SSTorytime
markburgess

SSTorytime

Mark Burgess's Semantic Spacetime knowledge graph on Postgres: write notes in the N4L language, compile them into a story graph, then search, browse and path-solve it via Go API or web UI.

259 41 Go Apache-2.0updated yesterday
knowledge-graphs
View on GitHubDispute this mapping →
Curator's take

For people who want to think with a knowledge graph, not just store one: you write semi-formal notes in N4L, the compiler loads them into a Semantic Spacetime graph on plain Postgres, and tools search it, solve paths and surface storylines. It deliberately rejects RDF and topic maps for four relation types — near, leads-to, contains, expresses — from the CFEngine/Promise Theory author: opinionated theory, carefully built, with a no-unvalidated-AI-code policy. It is alpha and learning-oriented: several CLI tools are labelled preliminary, and LLM access lives in a separate MCP-SST connector. Skip it for automatic LLM extraction from documents or standards-bound enterprise KGs — an RDF/OWL stack or an extraction pipeline fits there.

Mapped by ShipWithAI editors · links verified

Continue your stack

What teams reach for next — and why each earns a place beside SSTorytime. Ranked by curator confidence.

alternativealternativevault-ldopen-ontologiesSSTorytime
pairs wellalternativebuilt withpick a node for the why · open it from the panel
Weekly digest
README.md2 min read

[!NOTE]

SSTorytime

(A Unified Graph Process For Mapping Knowledge)

Imagine a tool that would help you to know your own thinking, to capture it, visualize it, and make it searchable for those days when your scatterbrain isn’t working on all cylinders. A tool that can represent--not only ideas--but ideas about ideas. This is the thinking behind SSTorytime. We might not call such a tool Artificial Intelligence; rather, we might call it a "cyborg enhancement". Still, the results would be useful for training and teaching of human or machine intelligence alike. Such a toolset is the goal of the open source SSTorytime Knowledge project. The issue of what kind of graph you should make is secondary to the issue of understanding what knowledge means, and how we will use it. Neither topic maps nor rdf communities got this right in the past.

SSTorytime is an independent Knowledge Graph, based on Semantic Spacetime. It is not an Topic Map or RDF-based project. It aims to be both easier to use and more powerful than RDF.

Graphs are the language of spacetime process

Graphs are popular once again, but the technologies for dealing with them are clunky and designed by technologists rather than scientists. This project makes working with graphs simple.

Graphs may be used:

  • As visualization of processes.
  • As a map of space and time.
  • As a map of a process, like Gant charts and path integrals.
  • As computational device (a multi-matrix algebra representation).
  • - e.g. social networks with centralities and flow patterns, link weight as contact frequencies...
  • As a distributed index over semantic relationships.
  • And more ...
If you want to know the deep background behind the Semantic Spacetime concept and its approach, you can read the book shown to the right. **N.B. This book is conceptual background, not a tutorial or HOW-TO manual.**

Deep Dive into this Semantic Spacetime Project (SST)

Keywords, tags: Open Source Smart Graph Database API for Postgres, Go(lang) API, Explainability of Knowledge Representation