Thematic-TAO: a three-pass method for post analysis
Extracting meaningful entities and relations, combining thematic analysis with TAO topic mapping in three passes.
17 entries
Extracting meaningful entities and relations, combining thematic analysis with TAO topic mapping in three passes.
What happens when you start from embeddings instead of reading? Comparing cluster-based discovery against the fresh thematic analysis.
Using the garden's own knowledge graph to find relevant external content, papers, and articles.
How the explore map got stable positions and pinned territories, so the landscape doesn't shift on every rebuild.
How hub/develops relations replace tag-based project structure with an explicit ontology, and what that means for the three kinds of connections in the garden.
Why embedding models cluster documents by format instead of topic when content lengths vary, and what to do about it.
Design document for an /explore page that lets visitors walk through the garden visually, using semantic maps, serendipity, and trails.
Running LLM-based key phrase extraction on all 92 garden items. What the results reveal about phrase overlap, short-text limits, and the role of key phrases in the knowledge graph.
What key phrase extraction is, how it evolved from word counting to LLM prompting, and which approach fits a small multilingual knowledge garden.
How to go from "everything is related to everything" to a useful set of link candidates. Data analysis, filtering strategies, and the research behind them.
Extract key phrases from 10 garden items using Ollama, compare LLM-based extraction with YAKE.
A non-coder's guide to text embedding models, from word counting to semantic understanding, surveyed for use in a personal knowledge garden.
Research into making the garden smarter about its own connections, from automatic backlinks to a full world model.
Reading notes from Apple's Saga papers on building knowledge graphs at scale, and what transfers to a personal digital garden.
Academic research on embeddings hasn't caught up with how PKM tools actually use them. There might be something worth writing here.
Apple's hybrid batch-incremental knowledge graph platform. Key inspiration for building smarter connections in this garden.
How to install and run embedding models locally using Ollama, compare three models on garden content, and run a full-scale embedding pass.